F-test

• Works exactly like t-test but with more than two groups.
• Also used for ANOVA testing.
• Assumptions of ANOVA : Each group of samples are normally distributed, have equal variance and are independent.
• Is a statistical test that is used in hypothesis testing to check whether the variation of two population or two samples are equal or not.
• Designed to test if two population variances are equal by comparing the ratio of two variances.

a) One-way ANOVA:

• To Analyze the difference between the means of more than two groups.

b) Two-way ANOVA:

• To Analyze how two independent variables effect a dependent variable.

t-test and F-test, what’s the difference?

• T-test is used to test the hypothesis, whether the given mean is significantly different from the sample mean.
• F-test is used to compare S.D of two samples and check the variability.