Legacy Dialogs (Nonparametric Tests)

There are a number of "legacy" dialogs that also perform nonparametric tests. These dialogs support the functionality provided by the Exact Tests option.

Chi-Square Test. Tabulates a variable into categories and computes a chi-square statistic based on the differences between observed and expected frequencies.

Binomial Test. Compares the observed frequency in each category of a dichotomous variable with expected frequencies from the binomial distribution.

Runs Test. Tests whether the order of occurrence of two values of a variable is random.

One-Sample Kolmogorov-Smirnov Test. Compares the observed cumulative distribution function for a variable with a specified theoretical distribution, which may be normal, uniform, exponential, or Poisson.

Two-Independent-Samples Tests. Compares two groups of cases on one variable. The Mann-Whitney U test, two-sample Kolmogorov-Smirnov test, Moses test of extreme reactions, and Wald-Wolfowitz runs test are available.

Two-Related-Samples Tests. Compares the distributions of two variables. The Wilcoxon signed-rank test, the sign test, and the McNemar test are available.

Tests for Several Independent Samples. Compares two or more groups of cases on one variable. The Kruskal-Wallis test, the Median test, and the Jonckheere-Terpstra test are available.

Tests for Several Related Samples. Compares the distributions of two or more variables. Friedman's test, Kendall's W, and Cochran's Q are available.

Quartiles and the mean, standard deviation, minimum, maximum, and number of nonmissing cases are available for all of the above tests.