Hypothesis tests
The following hypothesis tests are available in DataClassroom.
They can be run either as a Graph Driven Test or from the Hypothesis test function in the left-hand menu.
| Test | Non-parametric | DataClassroom U (College) license required |
|---|---|---|
| T-Test | ||
| Chi-square Goodness of Fit | ||
| Chi-square Test of Independence | ||
| Linear Regression | ||
| Multiple Linear Regression | Y | |
| ANOVA | ||
| 2-way ANOVA | ||
| ANCOVA | Y | |
| Mann-Whitney U (aka Wilcoxon) | Y | Y |
| Kruskal-Wallis | Y | Y |
Post-hoc tests
Additionally, for the ANOVA and 2-way ANOVA, a "post-hoc" test is also offered:
- Tukey's Range Test (aka Tukey's Honestly Significant Difference or Tukey's HSD)
Tests of normality
The following tests of normality are offered where relevant:
- D'Agostino-Pearson
- Shapiro-Wilk