> 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/anova-test.md).

# ANOVA Test

**Use:** ANOVA is used to **compare the means of three or more groups** to see if there's a statistically significant difference between them. It assesses whether there are any statistically significant differences between the means of two or more independent (unrelated) groups.

**Example:** A food manufacturer wants to determine if there are differences in the taste preferences of consumers for multiple variations of a product, like regular, low-fat, and organic.

<figure><img src="https://2063668468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9RcwqzNNsjo496JLJ2Ob%2Fuploads%2FKqaakgPmJkjOI0EJ8AZn%2Fimage.png?alt=media&amp;token=842f7ec0-f2a3-47d4-bf80-151baf392044" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Column Requirement:** Continuous data is required for multiple independent groups.
{% endhint %}

**Steps:**

1. Select a continuous variable (e.g., test scores) and a categorical variable (e.g., treatment groups).
2. Ensure that the data meets the assumptions of normality and homogeneity of variance across groups.
3. Perform the ANOVA test and obtain the p-value.
4. A low p-value indicates that there are significant differences among the group means.
5. If the ANOVA is significant, conduct post-hoc tests (e.g., Tukey HSD) to identify specific group differences.