t-Test, Independent, by Groups

Creates t-test for continuous variables by categorical predictors (with two groups). One categorical predictor is required with codes that identify each of the two groups. If no explicit codes are specified in the categorical predictor, the first two codes found in the data will be used for the computations. Optionally, homogeneity of variances tests and categorized box-whisker and normal probability plots are also computed.

General

Element Name Description
Creates box-whiskers plots Creates box and whiskers plots for each dependent variable, by group.
Normal probability plots Creates normal probability plots for each dependent variable, by group.
Brown and Forsythe test Creates and reports Brown-Forsythe test along with Levene test for homogeneity of variances; only applies when Level of detail is set to All results.
p for highlighting results The default p-value for highlighting is .05; significant t-tests with p less than or equal this value will be shown in the highlight color in the results spreadsheets.