Difference between revisions of "SOCR EduMaterials AnalysisActivities OneT"
(→One Sample T-Test Example) |
(→One Sample T-Test Example) |
||
Line 16: | Line 16: | ||
<center>[[Image:SOCR_AnalysisActivities_OneT_Chu_051707_Fig1.gif|700px]]</center> | <center>[[Image:SOCR_AnalysisActivities_OneT_Chu_051707_Fig1.gif|700px]]</center> | ||
+ | <center>[[Image:SOCR_AnalysisActivities_OneT_Chu_051707_Fig1A.gif|700px]]</center> | ||
<center>[[Image:SOCR_AnalysisActivities_OneT_Chu_051707_Fig2.gif|700px]]</center> | <center>[[Image:SOCR_AnalysisActivities_OneT_Chu_051707_Fig2.gif|700px]]</center> |
Revision as of 14:22, 4 August 2007
Contents
SOCR Analyses Example on One Sample T-Test
This SOCR Activity demonstrates the utilization of the SOCR Analyses package for statistical Computing. In particular, it shows how to use One Sample T-Test with SOCR.
One Sample T-Test Background
The theory used is Student's T-distribution (try opening it in a new window so you can keep this page). A vector of data is to be tested if it's mean is significantly not equal to zero, or less than, or greater than zero.
One Sample T-Test Example
We will demonstrate One Sample T-Test with some SOCR built-in examples. This example is based on the data taken from the statistical program "R." For more information of the R program, please see CRAN Home Page. The dataset used here is "shoes" under R's "MASS" library. In the dataset, ten boys are given to the wear of shoes of materials A and B for one foot. The worn level is recorded and difference is obtained. We'd like to find if one material is better than the other. The difference is calcualted by B - A.
Here's the steps of the activity:
1. Click on One Sample T-Test at the left panel's combo box. And then, on the right panel, first click on EXAMPLE 3 and next click on "Data" to retreive the demonstrated example.
![SOCR AnalysisActivities OneT Chu 051707 Fig1A.gif](/images/3/39/SOCR_AnalysisActivities_OneT_Chu_051707_Fig1A.gif)
2. Click on the "Mapping" button to get to the "Mapping" panel. Click on "Add" under Dependent to add the variable for One Sample T-Test.
3. Click on "Calculate" then "Result" to see the results.