In ANOVA, a small sample size increases the likelihood of violating the homogeneity of variance assumption.

Name: In ANOVA, a small sample size increases the likelihood of violating the homogeneity of variance assumption.
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With a small sample size, it is more difficult to achieve homogeneity of variance, as there are fewer data points to balance out any potential outliers or unequal distributions. This can increase the risk of violating the assumption of equal variances in ANOVA analysis.

In ANOVA, a Small Sample Size Increases the Likelihood of Violating