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The observations in each group are independent of each other.

The data in each group should follow a bell-curve (normal distribution).

To get reliable results from an ANOVA, your data should meet these criteria: anova test

How much "noise" or spread is there inside each individual group?

You might be familiar with the , which compares the means of two groups. When you have three or more groups, you might be tempted to just run multiple t-tests (Group A vs. B, B vs. C, and A vs. C). Don't do that. The observations in each group are independent of each other

How much do the group means differ from each other?

Despite its name, ANOVA doesn't actually compare variances to see if the spreads are different; it uses to see if the means are different. It looks at two things: You might be familiar with the , which

The ANOVA test is the gold standard for researchers and data analysts who need to compare multiple groups without inflating their margin of error. Whether you’re in medicine, marketing, or psychology, it’s the tool that helps you separate real trends from random noise.