Anova Assumptions Equal Variance. The responses for each factor level have a normal population distribution. When group variances are unequal they are said to be heterogenous.
The one-way ANOVA is considered a robust test against the normality assumption. Within each sample the observations are sampled randomly and independently of each other. There are three primary assumptions in ANOVA.
Jan 13 2016 The equal variance assumption is important in statistics because it applies to two of the most widely used tools the two-sample t-test and Analysis of Variance ANOVA.
This means that it tolerates violations to its normality assumption rather well. Jan 01 2009 One-way ANOVA assumes that the data come from populations that are Gaussian and have equal variances. That is the spread of residuals is roughly equal per treatment level. Factor effects are additive.
