SOCR EduMaterials Activities BertrandExperiment - Revision history

PriscillaChui: /* Applications */

2007-05-16T00:46:38Z

‎Applications

PriscillaChui: /* Applications */

2007-05-13T03:59:56Z

‎Applications

PriscillaChui: /* Goal */

2007-05-13T03:57:10Z

‎Goal

PriscillaChui: /* Goal */

2007-05-11T15:14:55Z

‎Goal

PriscillaChui: /* Goal */

2007-05-11T15:13:53Z

‎Goal

PriscillaChui at 15:12, 11 May 2007

2007-05-11T15:12:28Z

New page

== Bertrand Experiment ==

== Description ==

The Bertrand’s experiment generates a random chord of a circle with one point fixed at (1,0).

In the table, a random point (X,Y) is recorded on each update as well as D, the length of the line segment from the center of the circle to the center of the chord, and A, the angle that this line segment makes with the horizontal. Variable ''I'' indicates the event that the chord is longer than the length of a side of the inscribed equilateral triangle with 0 as shorter than the length of a side and 1 as longer than the length of a side. The density and empirical density of ''I'' is recorded in the distribution table.

On each update, the density of ''I'' is shown in blue and the empirical density of ''I'' is shown in red in the distribution graph.

Three different models can be selected with the list box:
1. The model where the distance D is uniformly distributed
2. The model where angle A is uniformly distributed
3. The model where the coordinate X is uniformly distributed

== Goal ==

To provide a simple generator that displays different models that satisfy the geometric properties of a Bertrand experiment.

‘’’Experiments’’’

Go to the SOCR Experiment [[http://www.socr.ucla.edu/htmls/SOCR_Experiments.html]] and select the Bertrand’s Experiment from the drop-down list of experiments on the top left. The image below shows the initial view of this experiment:

<center>[[Image:SOCR_Activities_BertrandExperiment_SubTopic_Chui_051107_Fig1.jpg|400px]]</center>

When pressing the play button, one trial will be executed and recorded in the distribution table below. The fast forward button symbolizes the nth number of trials to be executed each time. The stop button ceases any activity and is helpful when the experimenter chooses “continuous,” indicating an infinite number of events. The fourth button will reset the entire experiment, deleting all previous information and data collected.
The “update” scroll indicates nth number of trials (1, 10, 100, or 1000) performed when selecting the fast forward button and the “stop” scroll indicates the maximum number of trials in the experiment.

‘’’Uniform Distance’’’

When “Uniform Distance” is selected from the list box, the density of ''I'' graph is symmetric. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:

<center>[[Image:SOCR_Activities_BertrandExperiment_SubTopic_Chui_051107_Fig2.jpg|400px]]</center>

‘’’Uniform Angle’’’
When “Uniform Angle” is selected from the list box, the density of ''I'' graph is not symmetric—the density value of 0 is larger than that of 1. Similarly, as the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:

<center>[[Image:SOCR_Activities_BertrandExperiment_SubTopic_Chui_051107_Fig3.jpg|400px]]</center>

‘’’Uniform Point’’’
When “Uniform Point” is selected from the list box, the density graph shown in blue displays a much larger value for 0, thus creating a very small value for 1. This shows that the probability of a chord exceeding the length of one side of the inscribed triangle is very small. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:

<center>[[Image:SOCR_Activities_BertrandExperiment_SubTopic_Chui_051107_Fig4.jpg|400px]]</center>

== Applications ==

The Bertrand Experiment is an example of statistics and probability involving geometry. When selecting an experiment from the perspective of uniform point, angle, or distance, the density of variable ''I'' vary in respect. This simulation may be used for architectures and engineers when determining the density of a randomly sampled length of material for a given sample of area.

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Edu
Materials_Activities_BertrandExperiment}}

← Older revision		Revision as of 03:59, 13 May 2007
Line 47:		Line 47:
	The Bertrand Experiment is an example of statistics and probability involving geometry. When selecting an experiment from the perspective of uniform point, angle, or distance, the density of variable ''I'' vary in respect. This simulation may be used for architectures and engineers when determining the density of a randomly sampled length of material for a given sample of area.		The Bertrand Experiment is an example of statistics and probability involving geometry. When selecting an experiment from the perspective of uniform point, angle, or distance, the density of variable ''I'' vary in respect. This simulation may be used for architectures and engineers when determining the density of a randomly sampled length of material for a given sample of area.

−	{{translate\|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=~~SOCR_Edu~~	+	{{translate\|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BertrandExperiment}}
−	~~Materials_Activities_BertrandExperiment~~}}

@@ Line 22: / Line 22: @@
 Go to the SOCR Experiment [[http://www.socr.ucla.edu/htmls/SOCR_Experiments.html]] and select the Bertrand’s Experiment from the drop-down list of experiments on the top left. The image below shows the initial view of this experiment:
-<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_051107_Fig1.jpg|400px]]</center>
+<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig1.jpg|400px]]</center>
 When pressing the play button, one trial will be executed and recorded in the distribution table below. The fast forward button symbolizes the nth number of trials to be executed each time. The stop button ceases any activity and is helpful when the experimenter chooses “continuous,” indicating an infinite number of events. The fourth button will reset the entire experiment, deleting all previous information and data collected.
@@ Line 31: / Line 31: @@
 When “Uniform Distance” is selected from the list box, the density of ''I'' graph is symmetric. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:
-<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_051107_Fig2.jpg|400px]]</center>
+<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig2.jpg|400px]]</center>
 ‘’’Uniform Angle’’’
 When “Uniform Angle” is selected from the list box, the density of ''I'' graph is not symmetric—the density value of 0 is larger than that of 1. Similarly, as the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:
-<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_051107_Fig3.jpg|400px]]</center>
+<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig3.jpg|400px]]</center>
 ‘’’Uniform Point’’’
 When “Uniform Point” is selected from the list box, the density graph shown in blue displays a much larger value for 0, thus creating a very small value for 1. This shows that the probability of a chord exceeding the length of one side of the inscribed triangle is very small. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:
-<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_051107_Fig4.jpg|400px]]</center>
+<center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig4.jpg|400px]]</center>
 == Applications ==

@@ Line 45: / Line 45: @@
 == Applications ==
-The Bertrand Experiment is an example of statistics and probability involving geometry. When selecting an experiment from the perspective of uniform point, angle, or distance, the density of variable ''I'' vary in respect. This simulation may be used for architectures and engineers when determining the density of a randomly sampled length of material for a given sample of area.
+The Bertrand Experiment is an example of statistics and probability involving geometry. When selecting an experiment from the perspective of uniform point, angle, or distance, the density of variable ''I'' vary in respect.
 {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_BertrandExperiment}}

@@ Line 18: / Line 18: @@
 To provide a simple generator that displays different models that satisfy the geometric properties of a Bertrand experiment.
-‘’’Experiments’’’
+== Experiments ==
 Go to the SOCR Experiment [[http://www.socr.ucla.edu/htmls/SOCR_Experiments.html]] and select the Bertrand’s Experiment from the drop-down list of experiments on the top left. The image below shows the initial view of this experiment:
@@ Line 27: / Line 27: @@
 The “update” scroll indicates nth number of trials (1, 10, 100, or 1000) performed when selecting the fast forward button and the “stop” scroll indicates the maximum number of trials in the experiment.
-‘’’Uniform Distance’’’
+'''Uniform Distance'''
 When “Uniform Distance” is selected from the list box, the density of ''I'' graph is symmetric. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:
@@ Line 33: / Line 33: @@
 <center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig2.jpg|400px]]</center>
-‘’’Uniform Angle’’’
+'''Uniform Angle'''
 When “Uniform Angle” is selected from the list box, the density of ''I'' graph is not symmetric—the density value of 0 is larger than that of 1. Similarly, as the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome:
 <center>[[Image:SOCR_Activities_BertrandExperiment_Chui_0501107_Fig3.jpg|400px]]</center>
-‘’’Uniform Point’’’
+'''Uniform Point'''
 When “Uniform Point” is selected from the list box, the density graph shown in blue displays a much larger value for 0, thus creating a very small value for 1. This shows that the probability of a chord exceeding the length of one side of the inscribed triangle is very small. As the number of trials increase, the empirical density of ''I'' eventually takes the same form of the density graph. The image below demonstrates this outcome: