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Suppose You Are to Test for Equality of Four Different H0:μA=μB=μC=μDH _ { 0 } : \mu _ { A } = \mu _ { B } = \mu _ { C } = \mu _ { D }

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Suppose you are to test for equality of four different population means, with H0:μA=μB=μC=μDH _ { 0 } : \mu _ { A } = \mu _ { B } = \mu _ { C } = \mu _ { D } Write the hypotheses for the paired tests. Use methods of probability to explain why the process of ANOVA has a higher degree of confidence than testing each of the pairs separately.

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The six paired hypotheses are blured image
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