Now let's talk about another popular hypothesis test, called ANOVA. It is used to test whether similar data points coming from different groups or under a different set of experiments are statistically similar to each other or different—for example, the average height of different sections of a class in a school or the peptide length of a certain protein found in humans across different ethnicities.
ANOVA calculates two metrics to conduct this test:
- Variance among different groups
- Variance within each group
Based on these metrics, a statistic is calculated with variance among different groups as a numerator. If it is a statistically large enough number, it means that the variance among different groups is larger than the variance ...
