Fmax test for equality of variances | step-by-step examples
This video reviews the Fmax test and works through several examples of how it works.
Two step-by-step examples are described.
The first example returns a nonsignificant result, meaning the population variances appear equal.
The second example returns a significant result, meaning at least one population variance differs from at least one other.
An example of transforming this data set into a new data set with equal variances is then shown.
This test is commonly used to determine if a group of population variances are equal or not in preparation for an ANOVA.
This is the video that answers the questions: how do I do an Fmax test?
StatsExamples website:
http://www.statsexamples.com/
Link to the video that introduces the Fmax test:
• Introduction to the Fmax test for equality...
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