Difference between revisions of "SOCR EduMaterials Activities YIntervalChart"
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== Y INTERVAL CHART == | == Y INTERVAL CHART == | ||
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| + | == Summary== | ||
| + | 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. | ||
| + | |||
| + | == Goals== | ||
| + | The aims of this activity is to: | ||
| + | * gain a greater understanding of the y interval chart | ||
| + | * utilize SOCR y interval chart applet | ||
==Background == | ==Background == | ||
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Note that there is one series of event that is graphed in separate intervals, each having different lengths. | Note that there is one series of event that is graphed in separate intervals, each having different lengths. | ||
| + | |||
| + | == Examples & Exercises== | ||
| + | *'''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? | ||
| + | *'''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? | ||
== Data Type and Format == | == Data Type and Format == | ||
Latest revision as of 11:01, 7 May 2008
Contents
Y INTERVAL CHART
Summary
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 Analyses or Graphing tools for further interrogation.
Goals
The aims of this activity is to:
- gain a greater understanding of the y interval chart
- utilize SOCR y interval chart applet
Background
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.
For reference, see Examples.
Description
Go to the SOCR Charts and select Miscellaneous from the items located on the left, then select Y Interval Chart Demo:
Note that there is one series of event that is graphed in separate intervals, each having different lengths.
Examples & Exercises
- 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?
- 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?
Data Type and Format
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:
Applications
One of the most persuasive elements when proposing data and literature to others is a well-designed chart presentation.
The Y Interval Charts is beneficial for those who desire to compare one event under different conditions or variables.
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.
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.
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