Difference between revisions of "SOCR EduMaterials AnalysisActivities OneT"
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==One Sample T-Test Background== | ==One Sample T-Test Background== | ||
| − | The theory used is [http://en.wikipedia.org/wiki/Student%27s_t-test Student's T-distribution] (try opening 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. | + | The theory used is [http://en.wikipedia.org/wiki/Student%27s_t-test 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== | ==One Sample T-Test Example== | ||
Revision as of 14:20, 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.
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.
