Given that the output differs based on the number of levels within the grouping variable we’ll need some code to find the number of levels. If the grouping variable has more than two levels then the p-Value column takes the label “Prob > F” as illustrated below:.The above table is contained within an outline box called “Tests that the Variances are Equal”.I’m going to choose to implement the third option.Ī couple of points that will become relevant to the code implementation: look at all the tests and select the lowest p-value use the Bartlett test if the data have been demonstrated to be normally distributed, otherwise use the Levene test e.g Levene and only look at the p-value associated with this test ![]() It seems that our professors of statistics can’t quite agree on how to perform this test! I can think of three ways of dealing with this table of information: This test is performed in JMP by selecting the Unequal Variance option from the red triangle option within the Oneway platform. ![]() In this step a test will be performed to assess whether the data within each level of the grouping variable have equal variance. The advisor automates four tests associated with the assumptions of a oneway analysis of variance. This is the sixth and penultimate step in constructing the oneway advisor.
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