Anova Assumptions Equal Variance. Within each sample the observations are sampled randomly and independently of each other. All populations have a common variance.
The following resources are associated. However F tests in ANOVA are robust regarding these assumptions except in extreme cases. Each group sample is drawn from a normally distributed population.
The first two of these assumptions are easily fixable even if the last assumption is not.
All populations have a common variance. The one-way ANOVA is considered a robust test against the normality assumption. Remember the purpose of the ANOVA test is to determine the plausability of the null hypothesis where the null hypothesis says that all observations come from the same underlying group with the same degree of. Independence of samples Each sample is randomly selected and independent.
