# Chi-Squared Test

**Use:** The Chi-Squared test is used to determine if there's a **significant association between two categorical variables.** It helps assess whether there is a relationship between the variables or if they are independent.

**Example:** Investigating whether there is an association between gender (male or female) and the preference for a particular brand of soft drink.

<figure><img src="/files/2eoaPbE31sMjFjutXtve" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Column Requirement:** Categorical data for both variables.
{% endhint %}

**Steps:**

1. Select two categorical columns (e.g., gender)
2. Ensure expected frequencies in each cell of the table are not too low (generally above 5) for reliable results.
3. Compute the Chi-squared test statistic.
4. Evaluate the p-value associated with the test statistic.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.predicteasy.com/statistical-test/chi-squared-test.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
