When to Use ANOVA Test: Comparing Multiple Groups

When to Use an ANOVA Test: Comparing Multiple Groups

The ANOVA (Analysis of Variance) test is a powerful statistical tool used to determine if there are statistically significant differences between the means of three or more groups.

The correct answer is C. When you have more than two different groups to compare.

Here's why:

• A. When you only have two groups to compare: For comparing the means of only two groups, a t-test is generally more appropriate. * B. When you have at least 20 measurements & D. When you have less than 100 measurements: The number of measurements influences the power of the test, but not the fundamental decision of whether to use ANOVA. ANOVA can be used with varying sample sizes.

In essence: If you are looking for differences in average results between more than two groups, ANOVA is the way to go!