F-test and P-values: A synopsis
- F-test, p-value.
F-tests are a ratio of variances. F-tests are utilized in comparison of two variances, Analysis of Variance (ANOVA), and multiple regression. On the other hand, P-values depict the extent to which data fit in the design projected by the hypothesis so that P-value test all the assumptions contained on how the data was produced. This article offers a synopsis of what exactly is F-test and P-values, and their usage.