Advanced Statistical Tests

Some of the advanced features under the Graph Driven Test (GDT) or Hypothesis Test functions are only available for users with a College license, giving them the DataClassroom U feature set.

Read more about how to get the College features here.

Once in DataClassroom U mode, the advanced features will be shown in the test selection window, and the advanced-level tests will be included in the list:

Non-parametric tests

Non-parametric tests are the ones to choose if you know your data are not normally distributed. You can choose:

• The Mann-Whitney U test (also known as Wilcoxon rank-sum test) which is a non-parametric version of the T-test
• The Kruskal-Wallis test which is a non-parametric alternative to ANOVA

Multiple Linear Regression

Multiple Linear Regression allows you to simultaneously look at relationships between a single Dependent Variable and multiple Independent variables.

ANCOVA

ANCOVA (ANalysis of COVAriance) tests for the effect of an independent categorical variable (IV) on a numeric dependent variable (DV) while controlling for the effect of a third variable (numeric covariate).

Running tests in R

The "Try it in R" button takes you to the "Bridge to R" window. Read more about that here.