# SOCR EduMaterials AnalysisActivities FlignerKilleen

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 Revision as of 06:39, 17 October 2008 (view source)Annie (Talk | contribs) (New page: == SOCR Analyses Example on Fligner-Killeen Non-parametric Test. == This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''Ins...)← Older edit Revision as of 06:44, 17 October 2008 (view source)Annie (Talk | contribs) (→SOCR Analyses Example on Fligner-Killeen Non-parametric Test.)Newer edit → Line 8: Line 8: The analysis steps: The analysis steps: - '''1.''' As you start the SOCR Analyes Applet, click on "Fligner-Killeen Test" from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups. + '''1.''' As you start the SOCR Analyes Applet, click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]
[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]

## SOCR Analyses Example on Fligner-Killeen Non-parametric Test.

This example is based on a dataset from the R package under the library MASS. The dataset's name is InsectSprays.

In this dataset, there are two variables: count, which is quantitative, and spray , a factor of six groups, denoted by A to F.

The analysis steps:

1. As you start the SOCR Analyes Applet, click on Fligner-Killeen Test from the combo box in the left panel. Next, click on Example 2 and then the Data tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

2. Click on the Mapping tab to map the groups you would like to include in the analysis. Select at least two groups.

3. Now you will click on Compute to let the program produce the results. Click on Result to view the results.

Note: if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

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