F-test

The F-test is a statistical method used to compare the variances of two or more groups. By measuring how much the data in each group vary, we can determine if the differences in their means are significant. Essentially, it helps to answer the question: Are the groups significantly different from each other, or do they appear different just by chance? This test is commonly used in analyses like ANOVA (Analysis of Variance) to see if different treatments or conditions lead to different results. It's valuable in research for understanding effects and making informed conclusions.