---
title: "Types of statistical test"
slug: "types-of-statistical-test"
updated: 2023-01-27T09:53:09Z
published: 2023-01-27T09:53:09Z
canonical: "userguide.dataclassroom.com/types-of-statistical-test"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://userguide.dataclassroom.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Types of statistical test

### Hypothesis tests

The following hypothesis tests are available in DataClassroom.

They can be run either as a [Graph Driven Test](/v1/docs/graph-driven-tests) or from the [Hypothesis test](/v1/docs/hypothesis-tests) 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](https://userguide.dataclassroom.com/v1/docs/post-hoc-tests) (aka Tukey's Honestly Significant Difference or Tukey's HSD)

### Tests of normality

The following [tests of normality](https://userguide.dataclassroom.com/v1/docs/testing-for-a-normal-distribution) are offered where relevant:

- D'Agostino-Pearson
- Shapiro-Wilk