---
title: "Graph Driven Tests"
slug: "graph-driven-tests"
updated: 2025-03-13T12:21:55Z
published: 2025-03-13T12:21:55Z
canonical: "userguide.dataclassroom.com/graph-driven-tests"
---

> ## 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.

# Graph Driven Tests

Licensed featureThe Graph-Driven test requires a paid license, or an active free trial.

The **Graph-Driven Test** is a concept where DataClassroom uses **the way data has been visualized** to recommend an appropriate statistical test from this list:

- T-test
- Chi-square goodness of fit
- Chi-square test of independence
- ANOVA
- 2-way ANOVA
- Linear regression
- Plus: more advanced tests including ANCOVA, Paired T-test, Repeated Measures ANOVA, Kruskal-Wallis etc...  ([see here for details](/v1/docs/advanced-graph-driven-tests))

See [this blog post](https://about.dataclassroom.com/blog/selecting-a-statistical-test) for some pedagogical background, and the video below for a demonstration.

[Embedded content](https://www.youtube.com/embed/9tBbMZMlGQ4?&wmode=opaque&rel=0)

To perform Graph-Driven Test (GDT), **first set up a graph** that visualizes your data. Let's say you are comparing two groups of measurements, and you are showing them in a way that allows you to compare their means:

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1617965091033.png)

But you want to know: **is the apparent difference in means statistically significant?**

You can start the GDT from two places, the [flowchart](/v1/docs/the-preparation-visualization-statistics-flowchart) (Table tab):

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1617965299531.png)

Or from the Graph tab click on this button:

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1617965525458.png)

### Performing the test

Clicking the button will open the GDT window:

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1617965812911.png)

You can see a **list of tests**, what DataClassroom expects to see on **each axis** in order to choose that test. One row has been highlighted and has a **Calculate** button which will start the test.

### Test results

Once the test has run (only takes a second or two) you see the results:![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1617966199424.png)

There is a table of numerical results, in this case the Degrees of Freedom, the T-Score and the P-value. These will vary depending on the test, but there will always be a P-value as the final result.

The P-value is presented both numerically and with a suggested interpretation.

- Clicking the **Explain...** link takes you to a page which allows you to explore the meaning of the P-value in more detail.
- Clicking the **Camera icon** copies the table to your clipboard, ready for pasting into a spreadsheet or document.