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**Unformatted text preview: **of data set, drag the frequency column to the Freq box. 3. Click OK 4. Click on red arrow and select Test Probabilities 5. An area will appear to enter your hypothesized distributions. Here is where you could enter 16.6, 16.6, etc. or whatever the model says the distribution of the population should be. 6. Click Done. 7. Observe the Prob>Chisq for the Pearson test. 8. If it is less than .05, you reject Ho. The population distribution most-likely does not fit the model. Else, you fail to reject Ho. The population most-likely does fit the model. Test of Independence We are still looking at distribution of a population amongst a categorical variable. However, now we are looking at introducing a second category. This is similar to correlation analysis we did with quantitative variables earlier on....

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- Fall '13
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- Chi-square distribution, Pearson's chi-square test, chi square goodness