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8: Parameter Estimation and Testing
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Core Algorithms
Choose Parametric Tests or Their Nonparametric Counterparts
Test whether four-dimensional populations have equivalent location vectors using a collection of parametric and nonparametric tests.
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BlockRandom[SeedRandom[42]; data1 = RandomVariate[ MultinormalDistribution[{.25, .25, 0, .5}, IdentityMatrix[4]], 50]; data2 = RandomVariate[ MultinormalDistribution[{-.25, -.25, 0, .25}, IdentityMatrix[4]], 50]];
In[2]:=
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Labeled[BubbleChart3D[{data1, data2}, ChartStyle -> {Directive[{Specularity[White, 10], Orange}], Directive[{Specularity[White, 10], Purple}]}, PerformanceGoal -> "Quality", ImageSize -> 250], Insert[LocationTest[{data1, data2}, Automatic, {"TestDataTable", All}], ItemStyle -> Bold, {1, 2}], {Right, Bottom}]
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