What are the implications of violating the assumption of homoscedasticity in ANOVA?
- It can lead to incorrect conclusions about the differences between group means
- It has no implications
- It leads to a decrease in the F-statistic
- It leads to an increase in the F-statistic
Violating the assumption of homoscedasticity (equal variances across groups) in ANOVA can lead to incorrect conclusions about the differences between group means, i.e., the results of the ANOVA test could be misleading. This might cause Type I errors (rejecting a true null hypothesis) or Type II errors (failing to reject a false null hypothesis).
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