One-Way Analysis of Variance (ANOVA) simultaneously compares the differences among sample means of more than two groups for a one-factor experiment. You may think of it as the t-test for more than two groups.
- H0: μ1 = μ2= μ3 (there is no difference between the three means)
- H1: μ1 ≠ μ2 ≠ μ3 (there is a difference between the three means)
Example: You might use ANOVA to compare mean morphine consumption between total knee replacement patients that received a femoral nerve block, those that received a femoral and a popliteal nerve block, and those that did not receive a nerve block of any kind.