Independent groups t-test

Computes statistics for the independent groups t-test, also know as the two sample t-test. It is designed to compare the means of observations in the same column between two groups. The node allows the testing of equality of variances (Levene's test) and the t-value for both equal- and unequal-variance. It also provides the relevant descriptive statistics.

Options

Grouping column

Column holding the grouping information data.

Group one

All rows of the input table which have this this value in the grouping column are assigned to group one.

Group two

All rows of the input table which have this this value in the grouping column are assigned to group two.

Confidence Interval (in %)

The limits for the confidence interval are computed using this number. The default is 95 which means that you can be 95% confident that the true value of the parameter is in the confidence interval.

Test columns

A independent groups t-test is performed separately for each of these columns.

Views

Test statistics

Tables with descriptive statistics of the input columns and test statistics of the independent samples t-test.

Workflows

• 05 Evaluate Training Effectiveness - Comparative StatisticsKNIME Hub
• 05_Independent_groups_t-testKNIME Hub
• 05_Independent_groups_t-testKNIME Hub
• 07_Intensity_MeasurementKNIME Hub
• 20210819_Proksch_Ventura_live_4_EXP009_plate1_60min_run2_v2KNIME Hub
• Show all 62 workflows

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