Approaches When Conditions Are Not Satisfied
In this example our data were consistent with the assumptions of normality and equal variances. What happens when the sample data set does not meet the necessary conditions? In most introductory courses, this question probably doesn't arise or if it does it receives very brief treatment. As such, we will deal with it in a very limited way. Thankfully, JMP makes it quite easy to accommodate "uncooperative" data.
Earlier we noted that the assumption of equal variances is a critical condition for reliable results in an ANOVA, and we saw how to test for the equality of variances. If we find that there are significant differences in variance across the groups, we should not rely on the ANOVA table to draw ...
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