Difference between revisions of "SOCR EduMaterials AnalysisActivities OneT"

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(One Sample T-Test Example)
(One Sample T-Test Example)
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'''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.
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'''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. Here, the Column X = B - A. Don't worry about C2 to C16 etc.
  
  

Revision as of 14:29, 4 August 2007

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.

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SOCR AnalysisActivities OneT Chu 051707 Fig1A.gif


And then, on the right panel, first click on EXAMPLE 3 and next click on "Data" to retreive the demonstrated example. This is the example we'll be looking at.Note that the data are difference of B - A.

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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. Here, the Column X = B - A. Don't worry about C2 to C16 etc.


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3. Click on "Calculate" then "Result" to see the results.


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