> For the complete documentation index, see [llms.txt](https://docs.predicteasy.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.predicteasy.com/statistical-test/chi-squared-test.md).
# 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.
{% 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.
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