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	<id>https://wiki.socr.umich.edu/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=PriscillaChui</id>
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	<updated>2026-07-23T05:40:34Z</updated>
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	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_StatisticalLineChart&amp;diff=7402</id>
		<title>SOCR EduMaterials Activities StatisticalLineChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_StatisticalLineChart&amp;diff=7402"/>
		<updated>2008-05-12T21:22:52Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== STATISTICAL LINE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for statstical line chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The goals of this activity are to:&lt;br /&gt;
*gain a better understanding of the statistical line chart&lt;br /&gt;
*allow users to explore the statistical line chart with SOCR&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Line Charts may also display statistical values in charts known as Statistical Line Charts. These charts do not have plotted values but instead they display the range mean and standard deviation of the independent variables.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.eia.doe.gov/neic/graphs/lines.htm Line Charts]  and [http://www.vbchart.com/gallery/gallery.aspx?category=Statistical&amp;amp;productname=Charts More Different Types of Line Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Statistical Line Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_StatisticalLineCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Statistical Line Chart. Notice that for each independent variable labeled, the mean and standard deviation is visually graphed. Observers are able to determine the mean and range of the specific variable of both events.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' What are some differences and similarities between the Statistical Line Chart and the Normal Distribution? &lt;br /&gt;
*'''Exercise 2:''' If you are given the scores of a final, can conclusions be drawn when a statistical line chart is used to display the results?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. In this type of chart, the statistical values of each event is needed to create plots on the graph. The image below demonstrates this by listening the mean and standard deviation for the corresponding event:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_StatisticalLineCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Suppose an experiment proposes one or more different variables, each with a range of values. By utilizing the Statistical Line Chart, graphing the mean and standard deviation for each variable may present the data set in a simple matter.&lt;br /&gt;
&lt;br /&gt;
For example, students have five different brands of beverages. They want to compare the mean weight of the companies to determine if the stated weights on the cans are true or estimated.  After all the data is collected, they calculate the mean and standard deviation for each beverage and graph them on a Statistical Line Chart. From this chart, observers are able to observe the statistical values of the different beverages as well as discover which brand offers the true mean weight of its beverage.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_XYRendererChart&amp;diff=7401</id>
		<title>SOCR EduMaterials Activities XYRendererChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_XYRendererChart&amp;diff=7401"/>
		<updated>2008-05-12T21:20:03Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== XY STEP RENDERER ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for XY Renderer Chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
*grasp a better understanding of the XY Renderer Chart&lt;br /&gt;
*allow users to explore the XY Renderer Chart in SOCR Applets&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The XY Step Renderer Charts are visualizations that display values that have been interpreted or reinstated and are often useful for converting graphics into visual form.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://ez.no/doc/components/view/latest/(file)/Graph/ezcGraphPieChart.html More Renderer Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for XY Renderer Step Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_XYRendererCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a XY Renderer Step Chart. Note that is adopts the same characteristics as a basic Step Chart.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Can more than one variable be used for the XY Renderer Line Chart? What conclusions can be made from the displays?&lt;br /&gt;
*'''Exercise 2:''' Are you able to use the XY Renderer Chart with an infinite type of variable?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. Only numerical values are needed to create XY Renderer Charts. The image below shows the numerical dependent value to the corresponding independent value:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_XYRendererCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
 &lt;br /&gt;
For Renderer Charts, it is most useful for computer graphic designers who need to reinstate graphic files into visual graphs.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_StatisticalLineChart&amp;diff=7400</id>
		<title>SOCR EduMaterials Activities StatisticalLineChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_StatisticalLineChart&amp;diff=7400"/>
		<updated>2008-05-12T21:12:31Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* STATISTICAL LINE CHARTS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== STATISTICAL LINE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for statstical line chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The goals of this activity are to:&lt;br /&gt;
*gain a better understanding of the statistical line chart&lt;br /&gt;
*allow users to explore the statistical line chart with SOCR&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Line Charts may also display statistical values in charts known as Statistical Line Charts. These charts do not have plotted values but instead they display the range mean and standard deviation of the independent variables.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.eia.doe.gov/neic/graphs/lines.htm Line Charts]  and [http://www.vbchart.com/gallery/gallery.aspx?category=Statistical&amp;amp;productname=Charts More Different Types of Line Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Statistical Line Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_StatisticalLineCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Statistical Line Chart. Notice that for each independent variable labeled, the mean and standard deviation is visually graphed. Observers are able to determine the mean and range of the specific variable of both events.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. In this type of chart, the statistical values of each event is needed to create plots on the graph. The image below demonstrates this by listening the mean and standard deviation for the corresponding event:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_StatisticalLineCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Suppose an experiment proposes one or more different variables, each with a range of values. By utilizing the Statistical Line Chart, graphing the mean and standard deviation for each variable may present the data set in a simple matter.&lt;br /&gt;
&lt;br /&gt;
For example, students have five different brands of beverages. They want to compare the mean weight of the companies to determine if the stated weights on the cans are true or estimated.  After all the data is collected, they calculate the mean and standard deviation for each beverage and graph them on a Statistical Line Chart. From this chart, observers are able to observe the statistical values of the different beverages as well as discover which brand offers the true mean weight of its beverage.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_XYRendererChart&amp;diff=7399</id>
		<title>SOCR EduMaterials Activities XYRendererChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_XYRendererChart&amp;diff=7399"/>
		<updated>2008-05-12T21:11:36Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* XY STEP RENDERER */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== XY STEP RENDERER ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for XY Renderer Chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
*grasp a better understanding of the XY Renderer Chart&lt;br /&gt;
*allow users to explore the XY Renderer Chart in SOCR Applets&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The XY Step Renderer Charts are visualizations that display values that have been interpreted or reinstated and are often useful for converting graphics into visual form.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://ez.no/doc/components/view/latest/(file)/Graph/ezcGraphPieChart.html More Renderer Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for XY Renderer Step Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_XYRendererCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a XY Renderer Step Chart. Note that is adopts the same characteristics as a basic Step Chart.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. Only numerical values are needed to create XY Renderer Charts. The image below shows the numerical dependent value to the corresponding independent value:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_XYRendererCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
 &lt;br /&gt;
For Renderer Charts, it is most useful for computer graphic designers who need to reinstate graphic files into visual graphs.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_ScatterChart&amp;diff=7398</id>
		<title>SOCR EduMaterials Activities ScatterChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_ScatterChart&amp;diff=7398"/>
		<updated>2008-05-11T19:22:45Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SCATTER CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for scatter plot.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The purposes of this activity are to:&lt;br /&gt;
* illustrate the use of scatter plots&lt;br /&gt;
* show the important of them&lt;br /&gt;
* allow users to use SOCR scatter plots for their educational advantage&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Similar to Line Graphs, Scatter Charts are a simple visualization for data points to be plotted without drawn lines connecting them. They are often useful for comparing each point separately or groups of points from different events. Characteristics and behaviors of these data sets may be determined by observing Scatter Charts.&lt;br /&gt;
&lt;br /&gt;
For references, visit [https://zinc.isc-seo.upenn.edu/wi/help/EN/Ewbu260431a.html Scatter Charts] and [http://www.advsofteng.com/gallery_scatter.html More Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Scatter Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Scatter Chart. Note that below the graph are shown the statistical values for each event.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Suppose you are given a set of data points based on the score of each student during the final. Create a scatter plot of the given information. What can be drawn from this set of values? Can the minimum, maximum, and average score be found from the scatter plot?&lt;br /&gt;
*'''Exercise 2:''' If you are given the average price of gasoline across the nation, can a scatter plot be made to show the gathered raw information?&lt;br /&gt;
*'''Exercise 3:''' Is the scatter plot still useful for data information with less than 5 values? How about for values within a very small range?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There is one type of variable which is quantitative or numerical that is listed to the corresponding event:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Example (Human Heights and Weights)==&lt;br /&gt;
&lt;br /&gt;
Generate a scatter plot of the first 20 pairs of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight data]]. Copy the data with your mouse.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Paste it in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Scatter Plot Chart] (you need to enter an additional column for the index of the weight).&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig5.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You should get a Scatter plot like this. Notice the summary statistics on the bottom!&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig4.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can also do a Scatter plot of Weight agains Height to explore the linearity of their relation.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig6.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, students in labs may want to present their table of values in a graph. By using the Scatter Chart, every unique data value will be equally represented in the Scatter Chart.&lt;br /&gt;
&lt;br /&gt;
Suppose that researchers are interested in the cholesterol level in a group of adults. By plotting every data set, all of the values are equally represented in the Scatter Chart.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ScatterChart }}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_ScatterChart&amp;diff=7397</id>
		<title>SOCR EduMaterials Activities ScatterChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_ScatterChart&amp;diff=7397"/>
		<updated>2008-05-11T19:20:33Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SCATTER CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for scatter plot.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The purposes of this activity are to:&lt;br /&gt;
* illustrate the use of scatter plots&lt;br /&gt;
* show the important of them&lt;br /&gt;
* allow users to use SOCR scatter plots for their educational advantage&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Similar to Line Graphs, Scatter Charts are a simple visualization for data points to be plotted without drawn lines connecting them. They are often useful for comparing each point separately or groups of points from different events. Characteristics and behaviors of these data sets may be determined by observing Scatter Charts.&lt;br /&gt;
&lt;br /&gt;
For references, visit [https://zinc.isc-seo.upenn.edu/wi/help/EN/Ewbu260431a.html Scatter Charts] and [http://www.advsofteng.com/gallery_scatter.html More Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Scatter Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Scatter Chart. Note that below the graph are shown the statistical values for each event.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There is one type of variable which is quantitative or numerical that is listed to the corresponding event:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Example (Human Heights and Weights)==&lt;br /&gt;
&lt;br /&gt;
Generate a scatter plot of the first 20 pairs of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight data]]. Copy the data with your mouse.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Paste it in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Scatter Plot Chart] (you need to enter an additional column for the index of the weight).&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig5.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You should get a Scatter plot like this. Notice the summary statistics on the bottom!&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig4.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can also do a Scatter plot of Weight agains Height to explore the linearity of their relation.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig6.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, students in labs may want to present their table of values in a graph. By using the Scatter Chart, every unique data value will be equally represented in the Scatter Chart.&lt;br /&gt;
&lt;br /&gt;
Suppose that researchers are interested in the cholesterol level in a group of adults. By plotting every data set, all of the values are equally represented in the Scatter Chart.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ScatterChart }}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_QQChart&amp;diff=7396</id>
		<title>SOCR EduMaterials Activities QQChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_QQChart&amp;diff=7396"/>
		<updated>2008-05-11T19:18:20Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== QUANTILE-QUANTILE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for QQ charts. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The purpose of this activity is to:&lt;br /&gt;
*show users how SOCR QQ charts are plotted and what conclusions may be drawn&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Quantile-Quantile Charts, or QQ Charts, are plots in which observed values are plotted against theoretical quantiles. From the plotted points, a line of good fit is drawn to show the behavior of the data values against the theoretical distribution. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.statsoft.com/textbook/glosq.html QQ Charts] and [http://www.dreamcalc.com/dchelp/userguide_graphing_examples.htm Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for QQ Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_QQCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple QQ Chart. Both demonstrations are similar because they both show specific data values by plotted points and a line of good fit is drawn to show the behavior of the data.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' What is the main difference between QQ Charts and other types of charts?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There is one type of value allowed in QQ Charts which are numerical or quantitative variables. The image below demonstrates how these values are listed to the corresponding order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_QQCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For QQ Charts, they may be applied to any data values that consist of observed values and theoretical values such as experiments. Suppose scientists developed theoretical values for water consumption among athletic males by age and weight. They then obtain a sample of the population of males and observed the water consumption for each patient. Graphing these values will allow the scientists to draw a line of good fit and help decide the acceptability of their theories.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_QQChart&amp;diff=7395</id>
		<title>SOCR EduMaterials Activities QQChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_QQChart&amp;diff=7395"/>
		<updated>2008-05-11T19:17:22Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== QUANTILE-QUANTILE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for QQ charts. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The purpose of this activity is to:&lt;br /&gt;
*show users how SOCR QQ charts are plotted and what conclusions may be drawn&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Quantile-Quantile Charts, or QQ Charts, are plots in which observed values are plotted against theoretical quantiles. From the plotted points, a line of good fit is drawn to show the behavior of the data values against the theoretical distribution. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.statsoft.com/textbook/glosq.html QQ Charts] and [http://www.dreamcalc.com/dchelp/userguide_graphing_examples.htm Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for QQ Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_QQCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple QQ Chart. Both demonstrations are similar because they both show specific data values by plotted points and a line of good fit is drawn to show the behavior of the data.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There is one type of value allowed in QQ Charts which are numerical or quantitative variables. The image below demonstrates how these values are listed to the corresponding order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_QQCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For QQ Charts, they may be applied to any data values that consist of observed values and theoretical values such as experiments. Suppose scientists developed theoretical values for water consumption among athletic males by age and weight. They then obtain a sample of the population of males and observed the water consumption for each patient. Graphing these values will allow the scientists to draw a line of good fit and help decide the acceptability of their theories.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_NormalDistribution&amp;diff=7394</id>
		<title>SOCR EduMaterials Activities NormalDistribution</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_NormalDistribution&amp;diff=7394"/>
		<updated>2008-05-11T19:16:00Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== NORMAL DISTRIBUTION ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the normal distribution. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* strengthen one's knowledge of the normal distribution&lt;br /&gt;
* show how SOCR normal distribution may be used as an advantage&lt;br /&gt;
* compare the use of the normal distribution to other areas of study&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Also known as the Gaussian Distribution, the Normal Distribution is often associated with the bell curve because the graph resembles the shape of a bell. The Normal Distribution is essential when modeling quantitative data in natural environments. Statistical data may be implemented in these graphs as the mean, variance, and standard deviation may be labeled.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Normal_distribution Wikipedia]  and [http://mathworld.wolfram.com/NormalDistribution.html WolFram].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Normal Distribution:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_NormalCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Normal Distribution. Notice the bell shaped curve that is centered at 0 on the horizontal axis.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Does it matter if the variables are random or chosen when using the normal distribution? Why or why not?&lt;br /&gt;
*'''Exercise 2:''' How can the normal distribution show the probability of one event from occurring just by the display?&lt;br /&gt;
*'''Exercise 3:''' What other type of chart may be associated with the normal distribution when displaying the outcome of a probability experiment?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For the Normal Distribution, the mean and standard deviation are the only two important values in the table. Adjusting the mean will shift the graph and varying the standard deviation will change the range or horizontal length of the graph:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_NormalCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Suppose a professor wants to grade his students based on the Normal Distribution Graph in which a small percentage of the class will receive A’s and F’s while the majority of the class will receive C’s.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_NormalDistribution&amp;diff=7393</id>
		<title>SOCR EduMaterials Activities NormalDistribution</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_NormalDistribution&amp;diff=7393"/>
		<updated>2008-05-11T19:12:50Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* NORMAL DISTRIBUTION */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== NORMAL DISTRIBUTION ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the normal distribution. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* strengthen one's knowledge of the normal distribution&lt;br /&gt;
* show how SOCR normal distribution may be used as an advantage&lt;br /&gt;
* compare the use of the normal distribution to other areas of study&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Also known as the Gaussian Distribution, the Normal Distribution is often associated with the bell curve because the graph resembles the shape of a bell. The Normal Distribution is essential when modeling quantitative data in natural environments. Statistical data may be implemented in these graphs as the mean, variance, and standard deviation may be labeled.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Normal_distribution Wikipedia]  and [http://mathworld.wolfram.com/NormalDistribution.html WolFram].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Normal Distribution:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_NormalCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Normal Distribution. Notice the bell shaped curve that is centered at 0 on the horizontal axis.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For the Normal Distribution, the mean and standard deviation are the only two important values in the table. Adjusting the mean will shift the graph and varying the standard deviation will change the range or horizontal length of the graph:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_NormalCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Suppose a professor wants to grade his students based on the Normal Distribution Graph in which a small percentage of the class will receive A’s and F’s while the majority of the class will receive C’s.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_LineChart&amp;diff=7392</id>
		<title>SOCR EduMaterials Activities LineChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_LineChart&amp;diff=7392"/>
		<updated>2008-05-11T19:11:07Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== LINE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for line charts. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are:&lt;br /&gt;
* to show the important and usefulness of line charts&lt;br /&gt;
* allow users to exercise the process on how to use SOCR line charts&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Line Charts are often used for physical experiments. From the tables of collected data, values of physical processes can be visually analyzed by the use of line graphs. These charts are typically two-dimensional with unique values that are consecutively connected by a straight line. The dependent variable appears on the vertical axis and the independent variable appears on the horizontal axis. &lt;br /&gt;
&lt;br /&gt;
Physical characteristics such as behaviors of the physical experiment may be easily determined by observing the visualizations of Line Charts.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Line_chart Wikipedia] and [http://www.advsofteng.com/gallery_line.html More Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstrations for Line Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Line Chart with multiple graphs. Notice that the values are connected by a straight line. In this graph, the independent variable lies on the horizontal axis and the dependent variable lies on the vertical axis.&lt;br /&gt;
&lt;br /&gt;
In some events, the independent variables could lie on the vertical axis and the dependent variable could lie on the horizontal axis as long as the values are consistent with the graph. The image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090607_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises ==&lt;br /&gt;
*'''Exercise 1:''' Suppose you are in a chemistry lab and have been experimenting upon three types of chemicals. Use the line chart to display their behaviors under different temperatures. Can any conclusions or relationships between the chemicals be drawn? What factors may affect the illustration of line charts in a physical experimentation?&lt;br /&gt;
*'''Exercise 2:''' After strengthening your knowledge in regards to line charts, are there any correlations that may be formed from using line charts? How are the beneficial compared to other types of charts? What are the best kinds of data to use for line charts?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' inbetween the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There are two different types of data that is allowed for plotting data points which are one categorical variable (e.g., Series) and the remaining values as quantitative variables (numerical values).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090707_Fig3.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Example (Human Heights and Weights)==&lt;br /&gt;
&lt;br /&gt;
Generate a Line Chart of the first 20 pairs of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight data]]. Copy the data with your mouse.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Paste it in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Line Chart (Demo 1b)].&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Dinov_020808_Fig5.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You should get Line plots for height and weight like this. Notice the summary statistics on the bottom!&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Dinov_020808_Fig6.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, scientists may want to compare values of experiments. Suppose researchers are comparing the maximum speed of three different types of engines. Setting the independent variable as the trial number, the dependent variable will be the maximum speed measured for the corresponding event.&lt;br /&gt;
&lt;br /&gt;
For students in physical sciences labs, graphing values of experiments in Line Charts may help present their outcomes in a more appealing way.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_LineChart&amp;diff=7391</id>
		<title>SOCR EduMaterials Activities LineChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_LineChart&amp;diff=7391"/>
		<updated>2008-05-11T19:08:23Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== LINE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for line charts. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are:&lt;br /&gt;
* to show the important and usefulness of line charts&lt;br /&gt;
* allow users to exercise the process on how to use SOCR line charts&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Line Charts are often used for physical experiments. From the tables of collected data, values of physical processes can be visually analyzed by the use of line graphs. These charts are typically two-dimensional with unique values that are consecutively connected by a straight line. The dependent variable appears on the vertical axis and the independent variable appears on the horizontal axis. &lt;br /&gt;
&lt;br /&gt;
Physical characteristics such as behaviors of the physical experiment may be easily determined by observing the visualizations of Line Charts.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Line_chart Wikipedia] and [http://www.advsofteng.com/gallery_line.html More Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstrations for Line Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a Line Chart with multiple graphs. Notice that the values are connected by a straight line. In this graph, the independent variable lies on the horizontal axis and the dependent variable lies on the vertical axis.&lt;br /&gt;
&lt;br /&gt;
In some events, the independent variables could lie on the vertical axis and the dependent variable could lie on the horizontal axis as long as the values are consistent with the graph. The image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090607_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' inbetween the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There are two different types of data that is allowed for plotting data points which are one categorical variable (e.g., Series) and the remaining values as quantitative variables (numerical values).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Chui_090707_Fig3.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Example (Human Heights and Weights)==&lt;br /&gt;
&lt;br /&gt;
Generate a Line Chart of the first 20 pairs of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight data]]. Copy the data with your mouse.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_ScatterCharts_Dinov_020808_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Paste it in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Line Chart (Demo 1b)].&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Dinov_020808_Fig5.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You should get Line plots for height and weight like this. Notice the summary statistics on the bottom!&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_LineCharts_Dinov_020808_Fig6.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, scientists may want to compare values of experiments. Suppose researchers are comparing the maximum speed of three different types of engines. Setting the independent variable as the trial number, the dependent variable will be the maximum speed measured for the corresponding event.&lt;br /&gt;
&lt;br /&gt;
For students in physical sciences labs, graphing values of experiments in Line Charts may help present their outcomes in a more appealing way.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_IndexChart&amp;diff=7390</id>
		<title>SOCR EduMaterials Activities IndexChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_IndexChart&amp;diff=7390"/>
		<updated>2008-05-11T19:07:00Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== INDEX CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the index chart. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
*better the understanding of index charts&lt;br /&gt;
*show how the index chart is applied to events&lt;br /&gt;
*explain the flexibility of SOCR index charts&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Mostly used in finance, Index Charts are similar to Line Charts. But instead of plotted every data value, there are no specific points on the chart. Only the line is visible with straight edges and no curves. The line is continuous and travels in one direction. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://finance.comcast.net/indices/advanced_charts.html?ID_NOTATION=324977 Example].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Index Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_IndexCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Index Chart. Note that there are no data points on the graph but only the line of the graph. Note that the line is continuous and does not curve. Below the graph, statistical values of the data set are shown.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Suppose you are given data information of one company in the stock market. Show how the index chart may be useful in displaying its growth over the past 5 years. What can be drawn from this illustration? What factors affect the growth or depression of the stock market?&lt;br /&gt;
*'''Exercise 2:''' While watching the news on television, how often are index charts used to display growth of businesses? Can it be used to display behaviors of other events such as height growth, population growth, etc.?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking Data inbetween the Graph and Mapping button, it allows users to input or vary the values of the data set. There are two different types of variables - the independent variable and the dependent variable. Note that in the image below, the independent variables are simply listed as integers under the first column and the dependent variable are listed to the corresponding value under the second column:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_IndexCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For businesses, using the Index Chart will visually show the growth of the company without displaying the specific growth of the business at a certain point in time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_IndexChart&amp;diff=7389</id>
		<title>SOCR EduMaterials Activities IndexChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_IndexChart&amp;diff=7389"/>
		<updated>2008-05-11T19:04:31Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== INDEX CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the index chart. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
*better the understanding of index charts&lt;br /&gt;
*show how the index chart is applied to events&lt;br /&gt;
*explain the flexibility of SOCR index charts&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Mostly used in finance, Index Charts are similar to Line Charts. But instead of plotted every data value, there are no specific points on the chart. Only the line is visible with straight edges and no curves. The line is continuous and travels in one direction. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://finance.comcast.net/indices/advanced_charts.html?ID_NOTATION=324977 Example].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Index Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_IndexCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Index Chart. Note that there are no data points on the graph but only the line of the graph. Note that the line is continuous and does not curve. Below the graph, statistical values of the data set are shown.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking Data inbetween the Graph and Mapping button, it allows users to input or vary the values of the data set. There are two different types of variables - the independent variable and the dependent variable. Note that in the image below, the independent variables are simply listed as integers under the first column and the dependent variable are listed to the corresponding value under the second column:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_IndexCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For businesses, using the Index Chart will visually show the growth of the company without displaying the specific growth of the business at a certain point in time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7388</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7388"/>
		<updated>2008-05-11T19:02:18Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | Area Charts Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart Exercises]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_DotChart&amp;diff=7379</id>
		<title>SOCR EduMaterials Activities DotChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_DotChart&amp;diff=7379"/>
		<updated>2008-05-07T16:04:55Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== DOT CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the dot cart. &lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* increase user's involvement with SOCR utilities such as the dot chart&lt;br /&gt;
* create a better understanding of the dot chart for users&lt;br /&gt;
* practice skills developed from obtaining knowledge of SOCR dot chart&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
For continuous, quantitative, univariate data, Dot Charts or Dot Plots are often useful to plot statistical values. By these visualizations, clusters, gaps, and outliers can be easily attainable. But Dot Charts are most helpful for small sets of data whereas stem plots, box plots, or histograms are more efficient for large sets of data.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Dot_plot_(statistics) Wikipedia] and [http://www.pcmag.com/encyclopedia_term/0,2542,t=dot+chart&amp;amp;i=41899,00.as Definition].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Dot Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_DotCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Dot Chart. Note that there is no true vertical axis as it is not labeled but the horizontal axis represents the data. If more than one value of data appears, the data points do not overlap. Instead, they are plotted above the data point of equal value.&lt;br /&gt;
&lt;br /&gt;
Below the graph is a statistical representation of the data values as shown.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercise==&lt;br /&gt;
*'''Exercise 1:''' Because the dot chart can illustrate statistical values by illustration, name some of these information that users can calculate. &lt;br /&gt;
*'''Exercise 2:''' Does it matter if variables or events being used are independent of dependent?&lt;br /&gt;
*'''Exercise 3:''' Look into SOCR histogram charts and convert it into a dot chart.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking the '''Data''' tab (in between the ''Graph'' and ''Mapping''), the user may input new or change the values of the existent data set. There is one type of data allowed for Dot Charts and those obtain numerical values. As shown in the image below, the values are simply listed as integers in no particular order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_DotCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, students in labs may want to present their table of values in a graph. By using the Dot Charts, all the data points are easily represented as well as the frequency of each data value.&lt;br /&gt;
&lt;br /&gt;
Suppose real estate agents want to easily represent the number of bedrooms in the different designs of houses on a property.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_DotChart&amp;diff=7378</id>
		<title>SOCR EduMaterials Activities DotChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_DotChart&amp;diff=7378"/>
		<updated>2008-05-07T16:02:58Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* DOT CHARTS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== DOT CHARTS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the dot cart. &lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* increase user's involvement with SOCR utilities such as the dot chart&lt;br /&gt;
* create a better understanding of the dot chart for users&lt;br /&gt;
* practice skills developed from obtaining knowledge of SOCR dot chart&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
For continuous, quantitative, univariate data, Dot Charts or Dot Plots are often useful to plot statistical values. By these visualizations, clusters, gaps, and outliers can be easily attainable. But Dot Charts are most helpful for small sets of data whereas stem plots, box plots, or histograms are more efficient for large sets of data.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Dot_plot_(statistics) Wikipedia] and [http://www.pcmag.com/encyclopedia_term/0,2542,t=dot+chart&amp;amp;i=41899,00.as Definition].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Line Charts from the items located on the left, then select the demonstration for Dot Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_DotCharts_Chui_090607_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a demonstration of a simple Dot Chart. Note that there is no true vertical axis as it is not labeled but the horizontal axis represents the data. If more than one value of data appears, the data points do not overlap. Instead, they are plotted above the data point of equal value.&lt;br /&gt;
&lt;br /&gt;
Below the graph is a statistical representation of the data values as shown.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking the '''Data''' tab (in between the ''Graph'' and ''Mapping''), the user may input new or change the values of the existent data set. There is one type of data allowed for Dot Charts and those obtain numerical values. As shown in the image below, the values are simply listed as integers in no particular order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_DotCharts_Chui_090707_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
For example, students in labs may want to present their table of values in a graph. By using the Dot Charts, all the data points are easily represented as well as the frequency of each data value.&lt;br /&gt;
&lt;br /&gt;
Suppose real estate agents want to easily represent the number of bedrooms in the different designs of houses on a property.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_YIntervalChart&amp;diff=7377</id>
		<title>SOCR EduMaterials Activities YIntervalChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_YIntervalChart&amp;diff=7377"/>
		<updated>2008-05-07T16:01:27Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Y INTERVAL CHART ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the y interval chart. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* gain a greater understanding of the y interval chart&lt;br /&gt;
* utilize SOCR y interval chart applet&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Y Interval Chart is often useful for displaying the range of different types of groups under one event. It may help compare the variances of the events by differentiating between the lengths of each event.&lt;br /&gt;
&lt;br /&gt;
For reference, see [http://www.java2s.com/Code/Java/Chart/JFreeChartIntervalBarChartDemo1.htm Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Y Interval Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous YIntervalChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that there is one series of event that is graphed in separate intervals, each having different lengths.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Suppose you are given the low's and high's of temperatures every day for a month. Create a y interval chart where the x-axis corresponds to the specific date and the y-axis is the temperature values. Can any conclusions be made from the chart?&lt;br /&gt;
*'''Exercise 2:''' If a y interval chart displays values that show no pattern, such as a varying intervals of large ranges to short ranges, what conclusions can be made if there is any? Are the variables independent, dependent, or cannot conclude?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For the Y Interval Charts, the first column in the data table provided by the applet is a list of the series or events of the data values. The second column is the corresponding end points of the interval of the data. Note that the end points are separated with a comma. The image below demonstrates this structure:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_Miscellaneous_YIntervalChart_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Y Interval Charts is beneficial for those who desire to compare one event under different conditions or variables.&lt;br /&gt;
&lt;br /&gt;
For example, suppose researchers want to determine the effectiveness of a prescription drug for different ages. The event would be the effectiveness of the drug and the independent variables may be the specific age of the patients. The dependent variable will then be the concentration or effectiveness of the drug on each person.&lt;br /&gt;
&lt;br /&gt;
Suppose students would like to determine the effect of caffeine among their peers. As each person is tested on a can of soda, the experimenters will determine when the caffeine will take place and for how long, thus the dependent variable will be the time period and the independent variable will be the patient.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_YIntervalChart&amp;diff=7376</id>
		<title>SOCR EduMaterials Activities YIntervalChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_YIntervalChart&amp;diff=7376"/>
		<updated>2008-05-07T15:58:46Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Y INTERVAL CHART */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Y INTERVAL CHART ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the y interval chart. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* gain a greater understanding of the y interval chart&lt;br /&gt;
* utilize SOCR y interval chart applet&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Y Interval Chart is often useful for displaying the range of different types of groups under one event. It may help compare the variances of the events by differentiating between the lengths of each event.&lt;br /&gt;
&lt;br /&gt;
For reference, see [http://www.java2s.com/Code/Java/Chart/JFreeChartIntervalBarChartDemo1.htm Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Y Interval Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous YIntervalChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that there is one series of event that is graphed in separate intervals, each having different lengths.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For the Y Interval Charts, the first column in the data table provided by the applet is a list of the series or events of the data values. The second column is the corresponding end points of the interval of the data. Note that the end points are separated with a comma. The image below demonstrates this structure:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_Miscellaneous_YIntervalChart_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Y Interval Charts is beneficial for those who desire to compare one event under different conditions or variables.&lt;br /&gt;
&lt;br /&gt;
For example, suppose researchers want to determine the effectiveness of a prescription drug for different ages. The event would be the effectiveness of the drug and the independent variables may be the specific age of the patients. The dependent variable will then be the concentration or effectiveness of the drug on each person.&lt;br /&gt;
&lt;br /&gt;
Suppose students would like to determine the effect of caffeine among their peers. As each person is tested on a can of soda, the experimenters will determine when the caffeine will take place and for how long, thus the dependent variable will be the time period and the independent variable will be the patient.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7375</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7375"/>
		<updated>2008-05-07T15:39:12Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | Area Charts Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SymbolicAxisChart&amp;diff=7374</id>
		<title>SOCR EduMaterials Activities SymbolicAxisChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SymbolicAxisChart&amp;diff=7374"/>
		<updated>2008-05-06T15:53:11Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SYMBOLIC AXIS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the symbolic axis chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The primary purposes of this activity is to:&lt;br /&gt;
* strengthen one's understanding of the symbolic axis chart in SOCR&lt;br /&gt;
* show how it can be used&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Symbolic Axis is basically a Scatter Plot with symbolic axes. It if often useful for concepts, theories, processes, etc.&lt;br /&gt;
&lt;br /&gt;
For reference, see [http://jspwiki.org/wiki/SpiderWebChartPlugin IEEE].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Symbol Axis Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous SymbolAxis Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, the axes are labeled with letters and the graph has Cartesian values.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
*'''Exercise 1:''' Transform a typical scatter plot into a symbolic axis chart. What conclusions can be made from the new set of display?&lt;br /&gt;
*'''Exercise 2:''' Can the values of the symbolic axis chart be negative? If so, what does it mean?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Symbolic Axis Charts, there may be more than one data set plotted as long as observers can distinguish the different events. Symbolic Axis Charts only need numerical values to create although the original data set is typically categorical. The image below demonstrates the data table needed to create Symbolic Axis Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_SymbolAxis_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Symbolic Axis approach is useful for displaying events that are not easily categorized such as color or dates, but for more complicated items such as theories and processes.&lt;br /&gt;
&lt;br /&gt;
Suppose engineers want to visually display results of different approaches to a problem. Utilizing this type of chart may be useful for their illustrations.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SymbolicAxisChart&amp;diff=7373</id>
		<title>SOCR EduMaterials Activities SymbolicAxisChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SymbolicAxisChart&amp;diff=7373"/>
		<updated>2008-05-06T15:51:36Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SYMBOLIC AXIS */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SYMBOLIC AXIS ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the symbolic axis chart.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The primary purposes of this activity is to:&lt;br /&gt;
* strengthen one's understanding of the symbolic axis chart in SOCR&lt;br /&gt;
* show how it can be used&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Symbolic Axis is basically a Scatter Plot with symbolic axes. It if often useful for concepts, theories, processes, etc.&lt;br /&gt;
&lt;br /&gt;
For reference, see [http://jspwiki.org/wiki/SpiderWebChartPlugin IEEE].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Symbol Axis Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous SymbolAxis Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, the axes are labeled with letters and the graph has Cartesian values.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Symbolic Axis Charts, there may be more than one data set plotted as long as observers can distinguish the different events. Symbolic Axis Charts only need numerical values to create although the original data set is typically categorical. The image below demonstrates the data table needed to create Symbolic Axis Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_SymbolAxis_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Symbolic Axis approach is useful for displaying events that are not easily categorized such as color or dates, but for more complicated items such as theories and processes.&lt;br /&gt;
&lt;br /&gt;
Suppose engineers want to visually display results of different approaches to a problem. Utilizing this type of chart may be useful for their illustrations.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SpiderWebChart&amp;diff=7372</id>
		<title>SOCR EduMaterials Activities SpiderWebChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SpiderWebChart&amp;diff=7372"/>
		<updated>2008-05-06T15:50:10Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SPIDER WEB CHART ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the Spider Web Chart and simulation. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* Gain knowledge of the spider web chart by using SOCR Applet&lt;br /&gt;
* Utilize the spider web chart in different situations&lt;br /&gt;
* Show the importance and benefits of using Spider Web&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
When displaying several different variables related to one item on a chart, the spider web or radar charts are often useful. These charts have multiple axes that allow different factors to be shown. In these types of charts, points closer to the center on any axes indicates low values and points further from the center indicate high values.&lt;br /&gt;
&lt;br /&gt;
For references: [http://www.skymark.com/resources/tools/radar_charts.asp Description], [http://jspwiki.org/wiki/SpiderWebChartPlugin Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Spider Web Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous SpiderWebChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, it allows five factors to be displayed on the chart with three different graphs. Below the graph is a set of numerical data.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises ==&lt;br /&gt;
* '''Exercise 1:''' The Spider Web Chart may be similar to a probability chart where is displays relationships between two or more different events. Create a probability chart of event A and event B, then create a Spider Web chart of the same data information. What are the similarities and what are the differences?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. The Spider Web Chart allows users to input the values of two or more events. In the data table, the name of the events or series are listed under the first column. Then the data values are recorded in the corresponding row of the event. The image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_Miscellaneous_SpiderWebChart_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
Any one may use this application for comparing several values.&lt;br /&gt;
&lt;br /&gt;
Suppose, investors want to see which stock is the best for investment. By creating a simple Spider Web Chart, the investors may easily graph more than one stock over a period of time having one common factor.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SpiderWebChart&amp;diff=7371</id>
		<title>SOCR EduMaterials Activities SpiderWebChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_SpiderWebChart&amp;diff=7371"/>
		<updated>2008-05-06T15:45:58Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SPIDER WEB CHART */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SPIDER WEB CHART ==&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the need, general methods and SOCR utilities for the Spider Web Chart and simulation. The simulated data may then be easily copied and pasted in different SOCR [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphing] tools for further interrogation.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* Gain knowledge of the spider web chart by using SOCR Applet&lt;br /&gt;
* Utilize the spider web chart in different situations&lt;br /&gt;
* Show the importance and benefits of using Spider Web&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
When displaying several different variables related to one item on a chart, the spider web or radar charts are often useful. These charts have multiple axes that allow different factors to be shown. In these types of charts, points closer to the center on any axes indicates low values and points further from the center indicate high values.&lt;br /&gt;
&lt;br /&gt;
For references: [http://www.skymark.com/resources/tools/radar_charts.asp Description], [http://jspwiki.org/wiki/SpiderWebChartPlugin Examples].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Spider Web Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous SpiderWebChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, it allows five factors to be displayed on the chart with three different graphs. Below the graph is a set of numerical data.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. The Spider Web Chart allows users to input the values of two or more events. In the data table, the name of the events or series are listed under the first column. Then the data values are recorded in the corresponding row of the event. The image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_Miscellaneous_SpiderWebChart_Chui_090807_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
Any one may use this application for comparing several values.&lt;br /&gt;
&lt;br /&gt;
Suppose, investors want to see which stock is the best for investment. By creating a simple Spider Web Chart, the investors may easily graph more than one stock over a period of time having one common factor.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7370</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7370"/>
		<updated>2008-05-06T15:43:14Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | Area Charts Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PolarChart&amp;diff=7363</id>
		<title>SOCR EduMaterials Activities PolarChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PolarChart&amp;diff=7363"/>
		<updated>2008-05-05T15:37:28Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== POLAR CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Polar Chart is a two-dimensional display of the independent variable on the angular axis and the dependent variable on the radial axis. The origin is at the center of the circle by default. By showing trends in values based on angles, polar charts are very useful for engineers and mathematicians.&lt;br /&gt;
&lt;br /&gt;
For references: [https://zinc.isc-seo.upenn.edu/wi/help/EN/Ewbu260430.html Brief Description of Polar Charts], [http://www.dplot.com/polar.htm In Depth Description], [http://www.advsofteng.com/gallery_polar.html Difference Examples].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the polar chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Polar Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_PolarChart_Chui_090507_Fig1.jpg| 400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, the origin is set for a specific value. The radial axis is labeled as angles since it represent values of the dependent variable, and the horizontal axis represents independent variables. There are two graphs on the Polar Chart, one red and the other blue. All the values in both graphs are connected and form four sided shapes. Below the graph displays numerical values of the graphs separately.&lt;br /&gt;
&lt;br /&gt;
==Examples &amp;amp; Exercises==&lt;br /&gt;
* '''Exercise 1:''' What is the main goal of polar charts? How can it be used in experimentation analysis?&lt;br /&gt;
* '''Exercise 2:''' What conclusions can be drawn if you are the use the polar chart and plot the information of given set of arrays?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Polar Charts, the angular and radial values are needed. As users can observe in the image below, the angular values are recorded under the first column and the radial values are recorded under the next column. For more than one Polar Chart, continue inputting the values in this order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_PolarChart_Chui_090807_Fig2.jpg| 400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Engineers may often use this application for their measurements and research of engines or machinery.&lt;br /&gt;
&lt;br /&gt;
Mathematicians or physicists may use this application in their research of mapping the universe or analysis and experiments.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PolarChart&amp;diff=7362</id>
		<title>SOCR EduMaterials Activities PolarChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PolarChart&amp;diff=7362"/>
		<updated>2008-05-05T15:35:38Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== POLAR CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Polar Chart is a two-dimensional display of the independent variable on the angular axis and the dependent variable on the radial axis. The origin is at the center of the circle by default. By showing trends in values based on angles, polar charts are very useful for engineers and mathematicians.&lt;br /&gt;
&lt;br /&gt;
For references: [https://zinc.isc-seo.upenn.edu/wi/help/EN/Ewbu260430.html Brief Description of Polar Charts], [http://www.dplot.com/polar.htm In Depth Description], [http://www.advsofteng.com/gallery_polar.html Difference Examples].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the polar chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Polar Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_PolarChart_Chui_090507_Fig1.jpg| 400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, the origin is set for a specific value. The radial axis is labeled as angles since it represent values of the dependent variable, and the horizontal axis represents independent variables. There are two graphs on the Polar Chart, one red and the other blue. All the values in both graphs are connected and form four sided shapes. Below the graph displays numerical values of the graphs separately.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Polar Charts, the angular and radial values are needed. As users can observe in the image below, the angular values are recorded under the first column and the radial values are recorded under the next column. For more than one Polar Chart, continue inputting the values in this order:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_PolarChart_Chui_090807_Fig2.jpg| 400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Engineers may often use this application for their measurements and research of engines or machinery.&lt;br /&gt;
&lt;br /&gt;
Mathematicians or physicists may use this application in their research of mapping the universe or analysis and experiments.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_EventFrequency&amp;diff=7361</id>
		<title>SOCR EduMaterials Activities EventFrequency</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_EventFrequency&amp;diff=7361"/>
		<updated>2008-05-05T15:34:36Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== EVENT FREQUENCY ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Event Frequency displays the number of repetitions or occurrences of one or more events over a period of time. Data values are usually in XY-coordinate form where the horizontal axis represents the independent variable and the vertical axis is the frequency of an event. These charts have a large range of sizes as they may represent data of small numbers of events to large numbers of events. In times, certain values may overlap on the chart as they are repeated in the data set.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Frequency Wikipedia].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This exercise describes the use and construction of the event frequency in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals ==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* describe how to use the event frequency in SOCR&lt;br /&gt;
* discuss its use in daily activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Event Frequency Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous Event Frequency Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, there are three events as stated in the legend located at the bottom of the chart. The horizontal axis has the independent values and the vertical axis represents the dependent values. Every event has different values and are typically independent of one another.&lt;br /&gt;
&lt;br /&gt;
For Event Frequency presentations, when used with a large set of data that are visually grouped within the chart, it will allow observers to easily distinguish trends among the different events.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises ==&lt;br /&gt;
*'''Exercise 1:''' Suppose you are given the frequencies of earth quakes along the west coast and east coast. Use SOCR Charts event frequency to show the data information.&lt;br /&gt;
*'''Exercise 2:''' Can conclusions be drawn from event frequency diagrams?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Event Frequency Charts, only the independent and dependent variable values are needed. The independent variable is typically categorical (e.g., Dates, Requirements, Events, etc.) and the dependent variable is typically numerical but may also be categorical (e.g., Values, Dates, Colors, Total Sum, etc.). The image below demonstrates the structure of the data:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous Event Frequency Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Companies may use this application to illustrate the number of persons who purchase their products on a daily or monthly basis.&lt;br /&gt;
&lt;br /&gt;
Suppose students would like to demonstrate the number of peers who purchase lunch during school on a daily basis to show which day of the week promotes the most income for the school.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_EventFrequency&amp;diff=7360</id>
		<title>SOCR EduMaterials Activities EventFrequency</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_EventFrequency&amp;diff=7360"/>
		<updated>2008-05-05T15:03:57Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== EVENT FREQUENCY ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Event Frequency displays the number of repetitions or occurrences of one or more events over a period of time. Data values are usually in XY-coordinate form where the horizontal axis represents the independent variable and the vertical axis is the frequency of an event. These charts have a large range of sizes as they may represent data of small numbers of events to large numbers of events. In times, certain values may overlap on the chart as they are repeated in the data set.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://en.wikipedia.org/wiki/Frequency Wikipedia].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This exercise describes the use and construction of the event frequency in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals ==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* describe how to use the event frequency in SOCR&lt;br /&gt;
* discuss its use in daily activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Event Frequency Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous Event Frequency Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that in this demonstration, there are three events as stated in the legend located at the bottom of the chart. The horizontal axis has the independent values and the vertical axis represents the dependent values. Every event has different values and are typically independent of one another.&lt;br /&gt;
&lt;br /&gt;
For Event Frequency presentations, when used with a large set of data that are visually grouped within the chart, it will allow observers to easily distinguish trends among the different events.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Event Frequency Charts, only the independent and dependent variable values are needed. The independent variable is typically categorical (e.g., Dates, Requirements, Events, etc.) and the dependent variable is typically numerical but may also be categorical (e.g., Values, Dates, Colors, Total Sum, etc.). The image below demonstrates the structure of the data:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous Event Frequency Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Companies may use this application to illustrate the number of persons who purchase their products on a daily or monthly basis.&lt;br /&gt;
&lt;br /&gt;
Suppose students would like to demonstrate the number of peers who purchase lunch during school on a daily basis to show which day of the week promotes the most income for the school.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7359</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7359"/>
		<updated>2008-05-05T15:01:44Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | Area Charts Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_Difference_Chart&amp;diff=7358</id>
		<title>SOCR EduMaterials Activities Difference Chart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_Difference_Chart&amp;diff=7358"/>
		<updated>2008-05-04T17:53:34Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== DIFFERENCE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Difference Chart usually displays two graphs on one chart with the area of the differences of the two graphs being shaded for easy comparison. It is often useful to distinguish one variable among two or more graphs.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://confluence.atlassian.com/display/JIRAEXT/JIRA+Charting+Plugin Difference Chart Example] and [http://www.java2s.com/Code/Java/Chart/JFreeChartDifferenceChartDemo2.htm Difference Chart Java Demonstration].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the difference chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The purpose of this activity is to:&lt;br /&gt;
* display examples of the difference chart in SOCR Applets&lt;br /&gt;
* demonstrate how to use the difference chart in specified situations&lt;br /&gt;
* show the important of the difference chart&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Difference Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous DifferenceChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is simple illustration of a Difference Chart which compares two graphs – one being red and the other being blue. Notice that the two shaded areas have different colors to easily distinguish when one graph has larger values than the other. The area shaded green is when the red graph has larger values than the blue graph and the region shaded red is when the blue graph has larger values than the red graph.&lt;br /&gt;
&lt;br /&gt;
*'''Exercise 1:''' Suppose you are given the temperatures of 2 different cities. City A consists of temperature measures of 76,78,80,81,76 during the week, and city B consists of temperatures 55, 60, 62, 60, 63. Create a difference chart. What conclusions can be drawn? Is there a pattern?&lt;br /&gt;
*'''Exercise 2:''' If you are given five variables, can a difference chart be used? Why or why not?&lt;br /&gt;
*'''Exercise 3:''' If two variables who are dependent upon each other were graphed with the difference chart, would it be useful?&lt;br /&gt;
*'''Exercise 4:''' Given the varying population values of three cities in a year, use the difference chart to display the result. Note the pattern created and what may be the causes of the increases/decreases of population.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
 &lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Difference Charts, there are two variables required which are the independent variables and the dependent variables of each graph. The independent variable is typically categorical (e.g. Date, Time, etc.) and the dependent variable is quantitative or numerical (e.g., Values, etc.). After entering the data, the applet will graph the sets and shade in the region of difference among them. The image below demonstrates how the data should be entered into the applet:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous DifferenceChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Researchers may utilize the Difference Chart whenever comparing two or more variables. Suppose that three products of dish washing liquid are being tested for most effective. After each test, the concentration of dirt is recorded. When updating every trial in their recordings, they may easily take note at which is more effective by noticing the differences among the three graphs that each represent one dish washing liquid.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_Difference_Chart&amp;diff=7357</id>
		<title>SOCR EduMaterials Activities Difference Chart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_Difference_Chart&amp;diff=7357"/>
		<updated>2008-05-04T17:49:19Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== DIFFERENCE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Difference Chart usually displays two graphs on one chart with the area of the differences of the two graphs being shaded for easy comparison. It is often useful to distinguish one variable among two or more graphs.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://confluence.atlassian.com/display/JIRAEXT/JIRA+Charting+Plugin Difference Chart Example] and [http://www.java2s.com/Code/Java/Chart/JFreeChartDifferenceChartDemo2.htm Difference Chart Java Demonstration].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the difference chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The purpose of this activity is to:&lt;br /&gt;
* display examples of the difference chart in SOCR Applets&lt;br /&gt;
* demonstrate how to use the difference chart in specified situations&lt;br /&gt;
* show the important of the difference chart&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Difference Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous DifferenceChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is simple illustration of a Difference Chart which compares two graphs – one being red and the other being blue. Notice that the two shaded areas have different colors to easily distinguish when one graph has larger values than the other. The area shaded green is when the red graph has larger values than the blue graph and the region shaded red is when the blue graph has larger values than the red graph.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
 &lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Difference Charts, there are two variables required which are the independent variables and the dependent variables of each graph. The independent variable is typically categorical (e.g. Date, Time, etc.) and the dependent variable is quantitative or numerical (e.g., Values, etc.). After entering the data, the applet will graph the sets and shade in the region of difference among them. The image below demonstrates how the data should be entered into the applet:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous DifferenceChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Researchers may utilize the Difference Chart whenever comparing two or more variables. Suppose that three products of dish washing liquid are being tested for most effective. After each test, the concentration of dirt is recorded. When updating every trial in their recordings, they may easily take note at which is more effective by noticing the differences among the three graphs that each represent one dish washing liquid.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7356</id>
		<title>SOCR EduMaterials Activities CompassPlot</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7356"/>
		<updated>2008-05-04T17:47:21Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== COMPASS PLOT ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
For two-dimensions, a compass plot is a group of positioned vectors from the origin. While the compass obtains vectors of XY-values, it is often useful for polar trajectories and particle motion. By conversion, the corresponding values may be changed into Cartesian coordinates. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.rit.edu/~pnveme/pigf/TwoDGraphics/twod_dir_compass.html MATLAB Compass Plot] and [http://www-ccs.ucsd.edu/matlab/techdoc/ref/compass.html Compass Plots].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the compass plot in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* show how to implement the compass plot in specified projects or areas of research&lt;br /&gt;
* display how to use the compass plot in SOCR Charts&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Compass Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is simple illustration of a Compass Plot. Notice that the compass is labeled with direction and the vectors are pointing in a specific direction.&lt;br /&gt;
&lt;br /&gt;
* '''Exercise 1:''' Illustrating the image of the compass plot, what kind of variables may be used in this type of chart? What does the illustration mean? Can any conclusions be drawn?&lt;br /&gt;
* '''Exercise 2:''' Suppose you are given the fault line of five different types of earth quakes. Using this information, create a compass plot based on the direction and angle of earth quakes.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. The angle of the data set is only needed to create a Compass Chart as the image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Compass Plots are useful when data takes form of Cartesian and Polar coordinates. In these cases, mathematicians often deal with converting from different coordinate systems to display research outcomes, thus, this application may be able to present their findings in a simple way.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7355</id>
		<title>SOCR EduMaterials Activities CompassPlot</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7355"/>
		<updated>2008-05-04T17:45:14Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Summary */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== COMPASS PLOT ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
For two-dimensions, a compass plot is a group of positioned vectors from the origin. While the compass obtains vectors of XY-values, it is often useful for polar trajectories and particle motion. By conversion, the corresponding values may be changed into Cartesian coordinates. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.rit.edu/~pnveme/pigf/TwoDGraphics/twod_dir_compass.html MATLAB Compass Plot] and [http://www-ccs.ucsd.edu/matlab/techdoc/ref/compass.html Compass Plots].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the compass plot in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Goals==&lt;br /&gt;
The aims of this activity is to:&lt;br /&gt;
* show how to implement the compass plot in specified projects or areas of research&lt;br /&gt;
* display how to use the compass plot in SOCR Charts&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Compass Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is simple illustration of a Compass Plot. Notice that the compass is labeled with direction and the vectors are pointing in a specific direction.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. The angle of the data set is only needed to create a Compass Chart as the image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Compass Plots are useful when data takes form of Cartesian and Polar coordinates. In these cases, mathematicians often deal with converting from different coordinate systems to display research outcomes, thus, this application may be able to present their findings in a simple way.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7354</id>
		<title>SOCR EduMaterials Activities CompassPlot</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CompassPlot&amp;diff=7354"/>
		<updated>2008-05-04T17:44:13Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== COMPASS PLOT ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
For two-dimensions, a compass plot is a group of positioned vectors from the origin. While the compass obtains vectors of XY-values, it is often useful for polar trajectories and particle motion. By conversion, the corresponding values may be changed into Cartesian coordinates. &lt;br /&gt;
&lt;br /&gt;
For references, visit [http://www.rit.edu/~pnveme/pigf/TwoDGraphics/twod_dir_compass.html MATLAB Compass Plot] and [http://www-ccs.ucsd.edu/matlab/techdoc/ref/compass.html Compass Plots].&lt;br /&gt;
&lt;br /&gt;
== Summary==&lt;br /&gt;
This activity describes the construction of the compass plot in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Compass Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is simple illustration of a Compass Plot. Notice that the compass is labeled with direction and the vectors are pointing in a specific direction.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. The angle of the data set is only needed to create a Compass Chart as the image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CompassChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Compass Plots are useful when data takes form of Cartesian and Polar coordinates. In these cases, mathematicians often deal with converting from different coordinate systems to display research outcomes, thus, this application may be able to present their findings in a simple way.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_2D_CategoryStepChart&amp;diff=7353</id>
		<title>SOCR EduMaterials Activities 2D CategoryStepChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_2D_CategoryStepChart&amp;diff=7353"/>
		<updated>2008-05-04T17:42:48Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== CATEGORY STEP CHART ==&lt;br /&gt;
&lt;br /&gt;
==Summary==&lt;br /&gt;
This activity describes the construction of the category step chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* show the usefulness of category step chart&lt;br /&gt;
* create better understanding of the category step chart by users following descriptions, examples, and exercises&lt;br /&gt;
* connect the category step chart with daily activities&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Category Step Chart is one way to display trends visually. It is often useful for averages over a time period.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://processtrends.com/pg_charts_dummy_axis_series.htm Step Charts for Excel] and [http://www.tushar-mehta.com/excel/charts/step_chart/ Step Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Category Step Chart Demo. In the Demo1 box plot, we can see side-by-side box plots of two categories for each of three series. These demonstration data can be viewed by clicking on DATA. Clicking on MAPPING you can choose the variables. Clicking on SHOW ALL the applet will present the graph, the data, and the mapping environment. Let’s clear this data set (click on CLEAR) so that we can enter our own data. After you click on CLEAR button, click on the DATA tab to enter data into the spreadsheet. The following data will be entered (don’t forget to separate the data by commas!):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CategoryStepChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a basic demonstration of Category Step Chart. Note that there are three separate graphs on the chart, each with its own trend.&lt;br /&gt;
&lt;br /&gt;
*'''Exercise 1:''' Look into the probability of undergraduate acceptance rate at a local college. Display the results with the category step chart.&lt;br /&gt;
&lt;br /&gt;
*'''Questions:''' &lt;br /&gt;
* Can any conclusions be made with a category step chart?&lt;br /&gt;
* Under what circumstances may variables be independent or dependent?&lt;br /&gt;
* Give a case in which a category step chart may not be useful, but another type of chart is.&lt;br /&gt;
* Can data information drawn from a quantitative experiment be displayed with the category step chart?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. Numerical values are only required to create Category Step Charts. Users should input the data values in the corresponding categorical event as the image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CategoryStepChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Researchers may utilize the Category Step Chart for specific trends of natural characteristics during a period of time. For example, the trends of humidity or temperature for every decade in a century.&lt;br /&gt;
&lt;br /&gt;
Scientists may also use this application to easily display their results of trends in bacteria growth over a given period of time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_2D_CategoryStepChart&amp;diff=7352</id>
		<title>SOCR EduMaterials Activities 2D CategoryStepChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_2D_CategoryStepChart&amp;diff=7352"/>
		<updated>2008-05-04T17:39:13Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* CATEGORY STEP CHART */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== CATEGORY STEP CHART ==&lt;br /&gt;
&lt;br /&gt;
==Summary==&lt;br /&gt;
This activity describes the construction of the category step chart in SOCR.  The applets can be accessed at [http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] under the Miscellaneous folder.&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
The aims of this activity are to:&lt;br /&gt;
* show the usefulness of category step chart&lt;br /&gt;
* create better understanding of the category step chart by users following descriptions, examples, and exercises&lt;br /&gt;
* connect the category step chart with daily activities&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
The Category Step Chart is one way to display trends visually. It is often useful for averages over a time period.&lt;br /&gt;
&lt;br /&gt;
For references, visit [http://processtrends.com/pg_charts_dummy_axis_series.htm Step Charts for Excel] and [http://www.tushar-mehta.com/excel/charts/step_chart/ Step Charts].&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select Miscellaneous from the items located on the left, then select Category Step Chart Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CategoryStepChart Chui 090507 Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is a basic demonstration of Category Step Chart. Note that there are three separate graphs on the chart, each with its own trend.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. Numerical values are only required to create Category Step Charts. Users should input the data values in the corresponding categorical event as the image below demonstrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activitites Miscellaneous CategoryStepChart Chui 090807 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Researchers may utilize the Category Step Chart for specific trends of natural characteristics during a period of time. For example, the trends of humidity or temperature for every decade in a century.&lt;br /&gt;
&lt;br /&gt;
Scientists may also use this application to easily display their results of trends in bacteria growth over a given period of time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7351</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7351"/>
		<updated>2008-05-04T17:33:18Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | Area Charts Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7350</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7350"/>
		<updated>2008-05-04T17:32:43Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | Random Number Generation Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | Box-and-Whisker Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | SOCR Area Charts]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | Bar Charts - Category Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | Bar Charts - XY Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | Cross Hair Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | Pie Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart Exercises]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CrossHair&amp;diff=7349</id>
		<title>SOCR EduMaterials Activities CrossHair</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CrossHair&amp;diff=7349"/>
		<updated>2008-05-03T14:11:12Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== CROSS HAIR ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Cross Hair Charts are mostly used in finance and the stock market. It involves XY-points since every point represents a specific value from the independent variable. The line connecting all the points in the data is continuous as every point is independent of each other, in other words, one point does not affect another by graphing the data. Similarly in real life, a day in the stock market should not affect the outcome of the next day, but the economy of the nation will put an affect of the stock market.&lt;br /&gt;
&lt;br /&gt;
References: [http://www.incrediblecharts.com/help/crosshairs.htm Examples], [http://en.wikipedia.org/wiki/Crosshair Wikipedia]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show how to use SOCR Cross Hair Charts&lt;br /&gt;
* Enforcing the understanding and purpose of Hair Charts&lt;br /&gt;
* Provide simple and easy examples&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Cross Hair'''. Click on the Miscellaneous folder and then on CrossHairDemo. In the Demo1 box plot, we can see side-by-side box plots of two categories for each of three series. These demonstration data can be viewed by clicking on DATA. Clicking on MAPPING you can choose the variables. Clicking on SHOW ALL the applet will present the graph, the data, and the mapping environment. Let’s clear this data set (click on CLEAR) so that we can enter our own data. After you click on CLEAR button, click on the DATA tab to enter data into the spreadsheet:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_CrossHair_Chui_090507_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is very similar to that of a stock market where time is the horizontal variable and value is the vertical value.&lt;br /&gt;
&lt;br /&gt;
''Note'' that the line connecting all points is continuous and that it is rarely or almost never obtaining negative values. It always increases and decreases in value over time.&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises ==&lt;br /&gt;
*'''Exercise 1''': Look for a Cross Hair Chart under ''Finances and Business'' in the newspaper or Internet. Analyze what the chart is displaying. Is there a pattern to the Cross Hair Chart? Is every day dependent on the previous day?&lt;br /&gt;
&lt;br /&gt;
*'''Exercise 2''': Research the peak temperature for each day during the last month. Use the SOCR Cross Hair Chart to plot the information. Are there any patterns? Can you make any assumptions based off this illustration?&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Cross Hair Charts, the two variables needed are the specific date or time interval and the corresponding dependent value. The image below demonstrates this as the independent variable is time and the dependent variable is the specific value:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activities Miscellaneous CrossHairCharts Chui 090707 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Investors may use the Cross Hair application to present the growth of market over a specific time period.&lt;br /&gt;
&lt;br /&gt;
Doctors and nurses may also use the Cross Hair application to present a patient’s blood level or heart rate over a period of time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CrossHair&amp;diff=7348</id>
		<title>SOCR EduMaterials Activities CrossHair</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_CrossHair&amp;diff=7348"/>
		<updated>2008-05-03T14:02:56Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== CROSS HAIR ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Cross Hair Charts are mostly used in finance and the stock market. It involves XY-points since every point represents a specific value from the independent variable. The line connecting all the points in the data is continuous as every point is independent of each other, in other words, one point does not affect another by graphing the data. Similarly in real life, a day in the stock market should not affect the outcome of the next day, but the economy of the nation will put an affect of the stock market.&lt;br /&gt;
&lt;br /&gt;
References: [http://www.incrediblecharts.com/help/crosshairs.htm Examples], [http://en.wikipedia.org/wiki/Crosshair Wikipedia]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show how to use SOCR Cross Hair Charts&lt;br /&gt;
* Enforcing the understanding and purpose of Hair Charts&lt;br /&gt;
* Provide simple and easy examples&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Cross Hair''':&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_CrossHair_Chui_090507_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The image above is very similar to that of a stock market where time is the horizontal variable and value is the vertical value.&lt;br /&gt;
&lt;br /&gt;
''Note'' that the line connecting all points is continuous and that it is rarely or almost never obtaining negative values. It always increases and decreases in value over time.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Cross Hair Charts, the two variables needed are the specific date or time interval and the corresponding dependent value. The image below demonstrates this as the independent variable is time and the dependent variable is the specific value:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR Activities Miscellaneous CrossHairCharts Chui 090707 Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
Investors may use the Cross Hair application to present the growth of market over a specific time period.&lt;br /&gt;
&lt;br /&gt;
Doctors and nurses may also use the Cross Hair application to present a patient’s blood level or heart rate over a period of time.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7347</id>
		<title>SOCR EduMaterials Activities BubbleChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7347"/>
		<updated>2008-05-03T14:01:54Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Applications */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BUBBLE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Bubble Charts is a process to illustrate three dimensional data in a two dimensional charts. The size of the market is proportional to a third set of values on a grid according to the standard X and Y values. It is useful for data set of hundreds to thousands of values.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://www.graphicsserver.com/com_products/GraphChoiceBubble.aspx Graphing Bubble Charts]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show a step-by-step procedure of using the SOCR Bubble Chart&lt;br /&gt;
* Relating the demonstration with other possible activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Bubble Chart''' Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090507_Fig1.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that below the graph shows the numerical values for mean, standard deviation, and median.&lt;br /&gt;
&lt;br /&gt;
==Example &amp;amp; Exercises==&lt;br /&gt;
'''Allometric relationship between population density, body mass and metabolic activity in Plants'''&lt;br /&gt;
&lt;br /&gt;
Use the [[SOCR_Data_Dinov_032708_AllometricPlanRels | Allometric relationship between population density, body mass and metabolic activity in Plants Dataset]] to generate a Bubble plot of the ''population density'' (number/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Dinov_042208_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Bubble Charts, users only need to gather numerical values of the data set. In the data table, the X-Y variables represent the point at which the bubbles will be centered and the Z variable represents the length or diameter of the bubbles. After the input of these data tables, SOCR will automatically graph these bubbles on the charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090807_Fig2.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Bubble Chart is useful for large sets of values so scientists may use this type of chart when presenting a simple display of red blood cell counts in different ages of humans.&lt;br /&gt;
&lt;br /&gt;
Bubble Charts may also be used for researchers who study the population of ants in different parts of the state, country, continent, or world.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7346</id>
		<title>SOCR EduMaterials Activities BubbleChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7346"/>
		<updated>2008-05-03T14:01:29Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Example &amp;amp; Exercises */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BUBBLE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Bubble Charts is a process to illustrate three dimensional data in a two dimensional charts. The size of the market is proportional to a third set of values on a grid according to the standard X and Y values. It is useful for data set of hundreds to thousands of values.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://www.graphicsserver.com/com_products/GraphChoiceBubble.aspx Graphing Bubble Charts]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show a step-by-step procedure of using the SOCR Bubble Chart&lt;br /&gt;
* Relating the demonstration with other possible activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Bubble Chart''' Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090507_Fig1.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that below the graph shows the numerical values for mean, standard deviation, and median.&lt;br /&gt;
&lt;br /&gt;
==Example &amp;amp; Exercises==&lt;br /&gt;
'''Allometric relationship between population density, body mass and metabolic activity in Plants'''&lt;br /&gt;
&lt;br /&gt;
Use the [[SOCR_Data_Dinov_032708_AllometricPlanRels | Allometric relationship between population density, body mass and metabolic activity in Plants Dataset]] to generate a Bubble plot of the ''population density'' (number/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Dinov_042208_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Bubble Charts, users only need to gather numerical values of the data set. In the data table, the X-Y variables represent the point at which the bubbles will be centered and the Z variable represents the length or diameter of the bubbles. After the input of these data tables, SOCR will automatically graph these bubbles on the charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090807_Fig2.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Bubble Chart is useful for large sets of values so scientists may use this type of chart when presenting a simple display of red blood cell counts in different ages of humans.&lt;br /&gt;
&lt;br /&gt;
Bubble Charts may also be used for researchers who study the population of ants in different parts of the state, country, continent, or world.&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7345</id>
		<title>SOCR EduMaterials Activities BubbleChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7345"/>
		<updated>2008-05-03T14:01:03Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BUBBLE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Bubble Charts is a process to illustrate three dimensional data in a two dimensional charts. The size of the market is proportional to a third set of values on a grid according to the standard X and Y values. It is useful for data set of hundreds to thousands of values.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://www.graphicsserver.com/com_products/GraphChoiceBubble.aspx Graphing Bubble Charts]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show a step-by-step procedure of using the SOCR Bubble Chart&lt;br /&gt;
* Relating the demonstration with other possible activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Bubble Chart''' Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090507_Fig1.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that below the graph shows the numerical values for mean, standard deviation, and median.&lt;br /&gt;
&lt;br /&gt;
==Example &amp;amp; Exercises==&lt;br /&gt;
'''Allometric relationship between population density, body mass and metabolic activity in Plants'''&lt;br /&gt;
&lt;br /&gt;
Use the [[SOCR_Data_Dinov_032708_AllometricPlanRels | Allometric relationship between population density, body mass and metabolic activity in Plants Dataset]] to generate a Bubble plot of the ''population density'' (number/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Dinov_042208_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Bubble Charts, users only need to gather numerical values of the data set. In the data table, the X-Y variables represent the point at which the bubbles will be centered and the Z variable represents the length or diameter of the bubbles. After the input of these data tables, SOCR will automatically graph these bubbles on the charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090807_Fig2.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Bubble Chart is useful for large sets of values so scientists may use this type of chart when presenting a simple display of red blood cell counts in different ages of humans.&lt;br /&gt;
&lt;br /&gt;
Bubble Charts may also be used for researchers who study the population of ants in different parts of the state, country, continent, or world.&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7344</id>
		<title>SOCR EduMaterials Activities BubbleChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7344"/>
		<updated>2008-05-03T14:00:09Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Example: Allometric relationship between population density, body mass and metabolic activity in Plants */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BUBBLE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Bubble Charts is a process to illustrate three dimensional data in a two dimensional charts. The size of the market is proportional to a third set of values on a grid according to the standard X and Y values. It is useful for data set of hundreds to thousands of values.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://www.graphicsserver.com/com_products/GraphChoiceBubble.aspx Graphing Bubble Charts]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show a step-by-step procedure of using the SOCR Bubble Chart&lt;br /&gt;
* Relating the demonstration with other possible activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Bubble Chart''' Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090507_Fig1.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that below the graph shows the numerical values for mean, standard deviation, and median.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Bubble Charts, users only need to gather numerical values of the data set. In the data table, the X-Y variables represent the point at which the bubbles will be centered and the Z variable represents the length or diameter of the bubbles. After the input of these data tables, SOCR will automatically graph these bubbles on the charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090807_Fig2.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Bubble Chart is useful for large sets of values so scientists may use this type of chart when presenting a simple display of red blood cell counts in different ages of humans.&lt;br /&gt;
&lt;br /&gt;
Bubble Charts may also be used for researchers who study the population of ants in different parts of the state, country, continent, or world.&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7343</id>
		<title>SOCR EduMaterials Activities BubbleChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BubbleChart&amp;diff=7343"/>
		<updated>2008-05-03T13:59:39Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BUBBLE CHART ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
Bubble Charts is a process to illustrate three dimensional data in a two dimensional charts. The size of the market is proportional to a third set of values on a grid according to the standard X and Y values. It is useful for data set of hundreds to thousands of values.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://www.graphicsserver.com/com_products/GraphChoiceBubble.aspx Graphing Bubble Charts]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show a step-by-step procedure of using the SOCR Bubble Chart&lt;br /&gt;
* Relating the demonstration with other possible activities&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Miscellaneous''' from the items located on the left, then select '''Bubble Chart''' Demo:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090507_Fig1.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that below the graph shows the numerical values for mean, standard deviation, and median.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' between the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. For Bubble Charts, users only need to gather numerical values of the data set. In the data table, the X-Y variables represent the point at which the bubbles will be centered and the Z variable represents the length or diameter of the bubbles. After the input of these data tables, SOCR will automatically graph these bubbles on the charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Chui_090807_Fig2.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. &lt;br /&gt;
&lt;br /&gt;
The Bubble Chart is useful for large sets of values so scientists may use this type of chart when presenting a simple display of red blood cell counts in different ages of humans.&lt;br /&gt;
&lt;br /&gt;
Bubble Charts may also be used for researchers who study the population of ants in different parts of the state, country, continent, or world.&lt;br /&gt;
&lt;br /&gt;
==Example: Allometric relationship between population density, body mass and metabolic activity in Plants==&lt;br /&gt;
&lt;br /&gt;
Use the [[SOCR_Data_Dinov_032708_AllometricPlanRels | Allometric relationship between population density, body mass and metabolic activity in Plants Dataset]] to generate a Bubble plot of the ''population density'' (number/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_Miscellaneous_BubbleChart_Dinov_042208_Fig3.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PieChart&amp;diff=7342</id>
		<title>SOCR EduMaterials Activities PieChart</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_PieChart&amp;diff=7342"/>
		<updated>2008-05-03T13:57:27Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Background */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== PIE CHARTS ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
From the many different types of charts available, Pie Charts are most useful for illustrating percentages of a greater whole.  Each section of the pie charts represents data from a specific category within the whole pie that creates the total data.&lt;br /&gt;
&lt;br /&gt;
Since Pie Charts provide a clear visualization of the data set, it is easy to grasp the purpose and classification of the presented values.&lt;br /&gt;
&lt;br /&gt;
For more references, go to [http://en.wikipedia.org/wiki/Pie_chart Wikipedia], [http://www.mathleague.com/help/data/data.htm How to use Pie Charts], [http://nces.ed.gov/nceskids/createagraph/ How to Create Pie Charts].&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To show the important of Pie Charts&lt;br /&gt;
* Display the daily application of SOCR Pie Charts&lt;br /&gt;
* Ensure understanding of utilizing the SOCR Charts demonstrations&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Pie Charts''' from the items located on the left. Then select one of the different types of Pie Charts according to your data format and the Chart look-and-feel you desire:&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Chui_090507.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This image of a Pie Chart illustrates the proportions of the data set by a clear 3D visualization.&lt;br /&gt;
&lt;br /&gt;
By selecting the other demonstrations under [http://socr.ucla.edu/htmls/SOCR_Charts.html Pie Charts], notice that any set of data may be more eye appealing by allowing the data to rotate, applying different colors, or even display the images as a Ring Chart:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Chui_090507_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Data Type and Format==&lt;br /&gt;
There are two different types of data spreadsheet formats/types that are allowed for plotting Pie-Charts. In both cases, one needs to provide two columns - one of a [http://mathworld.wolfram.com/CategoricalVariable.html categorical variable] (e.g., Name) and one of a [http://onlinestatbook.com/glossary/quantitative_variable.html quantitative variable] (numerical value associated with the name in first column). The different between these is the presence of an additional column in the second case (Pullout Flag), which indicates whether the (name, value) pair on this row will be plotted as a pulled out slice in the Pie Chart.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Dinov_090707_Fig4.jpg|300px]]&lt;br /&gt;
[[Image:SOCR_Activitites_PieCharts_Dinov_090707_Fig3.jpg|300px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Example (Lake contamination and Mercury in Fish)==&lt;br /&gt;
Create a Pie chart using the Alkalinity measurements in the first 10 Lakes listed in the [[NISER_081107_ID_Data#Data_Table | Lake contamination and Mercury in Bass Dataset]]. Copy the first 10 rows of this data table.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Dinov_020807_Fig5.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Paste these 10 rows in the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Pie Chart] under the data tab.&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Dinov_020807_Fig6.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Them Map Lake to Name and Alkalinity to Value (in the Mapping Tab).&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Dinov_020807_Fig7.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Click UPDATE_CHART to see the Pie Chart illustrating the relative levels of Alkalinity in the 10 lakes. You can repeat this with more lakes or with any of the other variables (e.g., pH). Notice the large deviation in Alkalinity levels between lakes (e.g., compare lakes Apopka and Annie).&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_PieCharts_Dinov_020807_Fig8.jpg|500px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation. For example, students have the ability to display their outcome of a Statistics project by utilizing the Pie Chart as a reference of proportions in the total data set.&lt;br /&gt;
&lt;br /&gt;
For industries, Pie Charts will give them the advantage of organizing their income of different types of products sold to consumers.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_PieCharts}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7341</id>
		<title>SOCR EduMaterials ChartsActivities</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_ChartsActivities&amp;diff=7341"/>
		<updated>2008-05-03T13:55:35Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* SOCR Educational Materials - Graphs &amp;amp; Charts Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== [[SOCR_EduMaterials |SOCR Educational Materials]] - Graphs &amp;amp; Charts Activities ==&lt;br /&gt;
&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | 2D Point Segmentation using SOCR Graphs, EM and Mixture Modeling]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CardsCoinsSampling | Cards and Coins Sampling Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Histogram_Graphs | Histogram Generation Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform Family Graphing Activity]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_RNG | SOCR Random Number Generation]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BoxPlot | SOCR Box-and-Whisker Plot]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_AreaCharts | SOCR Area Charts]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_CategoryPlot | SOCR Bar Charts - Category Plot]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BarCharts_XYPlot | SOCR Bar Charts - XY Plot]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_BubbleChart | SOCR Bubble Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CrossHair | SOCR Cross Hair]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PieChart | SOCR Pie Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_2D_CategoryStepChart | Category Step Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_CompassPlot | Compass Plot]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_Difference Chart | Difference Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_EventFrequency | Event Frequency]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_PolarChart | Polar Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SpiderWebChart | Spider Web Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_SymbolicAxisChart | Symbolic Axis Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_YIntervalChart | Y Interval Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_DotChart | Dot Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_IndexChart | Index Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_NormalDistribution | Normal Distribution]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_QQChart | Quantile-Quantile Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_XYRendererChart | XY Renderer Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_ScatterChart | Scatter Chart]]&lt;br /&gt;
* [[SOCR_EduMaterials_Activities_StatisticalLineChart | Statistical Line Chart]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;hr&amp;gt;&lt;br /&gt;
* [[SOCR_Videos_Charts | SOCR Charts Video Tutorial]]&lt;br /&gt;
* SOCR Home page: http://www.socr.ucla.edu&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_ChartsActivities}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BarCharts_XYPlot&amp;diff=7340</id>
		<title>SOCR EduMaterials Activities BarCharts XYPlot</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BarCharts_XYPlot&amp;diff=7340"/>
		<updated>2008-05-03T13:54:19Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Examples */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BAR CHARTS ==&lt;br /&gt;
== XY PLOT ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
When comparing groups of data, Bar Charts are one of the best approaches for single category data analysis. &lt;br /&gt;
&lt;br /&gt;
With two variables, X and Y, these Bar Charts are used for displaying the values for each variable represented by column length extending from each X-Y point. Each bar shows the contribution of two or more variable or the total, and the length is the sum of the parts that make up the total data set.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://molbio.info.nih.gov/structbio/plotz_help.html XY Plot]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To illustrate the important of bar charts in displaying information&lt;br /&gt;
* To show how to use SOCR Bar Chart applet and apply to every day activities&lt;br /&gt;
&lt;br /&gt;
== Examples &amp;amp; Exercises==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Bar Charts''' from the items located on the left. Click on the Miscellaneous folder and then on BarChartsDemo. The demonstration data can be viewed by clicking on DATA. Clicking on MAPPING you can choose the variables. Clicking on SHOW ALL the applet will present the graph, the data, and the mapping environment. Let’s clear this data set (click on CLEAR) so that we can enter our own data. After you click on CLEAR button, click on the DATA tab to enter data into the spreadsheet&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The first two set of demonstrations are basic XY Plot Bar Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The '''Histogram Demonstration Charts''' are categorized as XY Plot Charts because they display the values for each variable. One difference from the Histogram Bar Charts is that the Dependent variable is the Frequency, or how many times the specific data appears, of the data set.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig3.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*'''Exercise 1:''' If you were given the frequencies of drivers running a red light at a busy intersection every ten minutes, woud the bar chart be helpful to display the outcome? If so, use SOCR to do so.&lt;br /&gt;
&lt;br /&gt;
*'''Exercise 2:''' Suppose you want to know the total number of students that attend class regularly, twice a week, or rarely in a semester. Use the SOCR Bar Chart to help display the information.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' inbetween the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There are two different types of data that is allowed for plotting data points which are the independent variable (e.g., Series Number, Time, Date, etc.) and the dependent variable (e.g., Frequency, Values, etc.). The image below illustrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_BarCharts_XYPlot_Chui_090607_Fig4.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation.  The XY Plot Bar Charts are very useful when comparing two variables of data.&lt;br /&gt;
&lt;br /&gt;
For example, suppose students are issued a project to compare the opinions of favoring soda between age groups. The Independent variable may be intervals of every 5 years among their sample of population, and the dependent variable may represent the outcome of the individual preferences. &lt;br /&gt;
&lt;br /&gt;
For industries, XY Plot Bar Charts may be applied to illustrate their growth of the company in regards to their production.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
	<entry>
		<id>https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BarCharts_XYPlot&amp;diff=7339</id>
		<title>SOCR EduMaterials Activities BarCharts XYPlot</title>
		<link rel="alternate" type="text/html" href="https://wiki.socr.umich.edu/index.php?title=SOCR_EduMaterials_Activities_BarCharts_XYPlot&amp;diff=7339"/>
		<updated>2008-05-03T13:53:32Z</updated>

		<summary type="html">&lt;p&gt;PriscillaChui: /* Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== BAR CHARTS ==&lt;br /&gt;
== XY PLOT ==&lt;br /&gt;
&lt;br /&gt;
==Background ==&lt;br /&gt;
&lt;br /&gt;
When comparing groups of data, Bar Charts are one of the best approaches for single category data analysis. &lt;br /&gt;
&lt;br /&gt;
With two variables, X and Y, these Bar Charts are used for displaying the values for each variable represented by column length extending from each X-Y point. Each bar shows the contribution of two or more variable or the total, and the length is the sum of the parts that make up the total data set.&lt;br /&gt;
&lt;br /&gt;
For reference: [http://molbio.info.nih.gov/structbio/plotz_help.html XY Plot]&lt;br /&gt;
&lt;br /&gt;
==Goals==&lt;br /&gt;
* To illustrate the important of bar charts in displaying information&lt;br /&gt;
* To show how to use SOCR Bar Chart applet and apply to every day activities&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
Go to the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and select '''Bar Charts''' from the items located on the left. Click on the Miscellaneous folder and then on BarChartsDemo. The demonstration data can be viewed by clicking on DATA. Clicking on MAPPING you can choose the variables. Clicking on SHOW ALL the applet will present the graph, the data, and the mapping environment. Let’s clear this data set (click on CLEAR) so that we can enter our own data. After you click on CLEAR button, click on the DATA tab to enter data into the spreadsheet&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig1.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The first two set of demonstrations are basic XY Plot Bar Charts:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig2.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The '''Histogram Demonstration Charts''' are categorized as XY Plot Charts because they display the values for each variable. One difference from the Histogram Bar Charts is that the Dependent variable is the Frequency, or how many times the specific data appears, of the data set.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activitites_BarCharts_XYPlot_Chui_090507_Fig3.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*'''Example 1:''' If you were given the frequencies of drivers running a red light at a busy intersection every ten minutes, woud the bar chart be helpful to display the outcome? If so, use SOCR to do so.&lt;br /&gt;
&lt;br /&gt;
*'''Example 2:''' Suppose you want to know the total number of students that attend class regularly, twice a week, or rarely in a semester. Use the SOCR Bar Chart to help display the information.&lt;br /&gt;
&lt;br /&gt;
== Data Type and Format ==&lt;br /&gt;
&lt;br /&gt;
By clicking '''Data''' inbetween the ''Graph'' and ''Mapping'' button, it allows users to input or vary the values of the data set. There are two different types of data that is allowed for plotting data points which are the independent variable (e.g., Series Number, Time, Date, etc.) and the dependent variable (e.g., Frequency, Values, etc.). The image below illustrates this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;center&amp;gt;[[Image:SOCR_Activities_BarCharts_XYPlot_Chui_090607_Fig4.jpg|400px]]&amp;lt;/center&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation.  The XY Plot Bar Charts are very useful when comparing two variables of data.&lt;br /&gt;
&lt;br /&gt;
For example, suppose students are issued a project to compare the opinions of favoring soda between age groups. The Independent variable may be intervals of every 5 years among their sample of population, and the dependent variable may represent the outcome of the individual preferences. &lt;br /&gt;
&lt;br /&gt;
For industries, XY Plot Bar Charts may be applied to illustrate their growth of the company in regards to their production.&lt;br /&gt;
&lt;br /&gt;
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BallotExperiment}}&lt;/div&gt;</summary>
		<author><name>PriscillaChui</name></author>
		
	</entry>
</feed>