Basic Analysis • Contingency Analysis • Tests
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Tests
The Tests report shows the results for two tests to determine whether the response level rates are the same across X levels.
To produce the report shown in Example of a Tests Report, follow the instructions in Example of Contingency Analysis.
Example of a Tests Report
Note the following about the Chi-square statistics:
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When both categorical variables are responses (Y variables), the Chi-square statistics test that they are independent.
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You might have a Y variable with a fixed X variable. In this case, the Chi-square statistics test that the distribution of the Y variable is the same across each X level.
Description of the Tests Report 
N
Total number of observations.
DF
Records the degrees of freedom associated with the test.
The degrees of freedom are equal to (c - 1)(r - 1), where c is the number of columns and r is the number of rows.
-LogLike
Negative log-likelihood, which measures fit and uncertainty (much like sums of squares in continuous response situations).
Rsquare (U)
Portion of the total uncertainty attributed to the model fit.
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An R2 of 1 means that the factors completely predict the categorical response.
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An R2 of 0 means that there is no gain from using the model instead of fixed background response rates.
For more information, see Statistical Details for the Tests Report.
Test
Lists two Chi-square statistical tests of the hypothesis that the response rates are the same in each sample category. For more information, see Statistical Details for the Tests Report.
Prob>ChiSq
Lists the probability of obtaining, by chance alone, a Chi-square value greater than the one computed if no relationship exists between the response and factor. If both variables have only two levels, Fisher’s exact probabilities for the one-tailed tests and the two-tailed test also appear.
Fisher’s Exact Test
This report gives the results of Fisher’s exact test for a 2x2 table. The results appear automatically for 2x2 tables. For more details about Fisher’s exact test, and for details about the test for r x c tables, see Exact Test.