Suppose you are to test for equality of four different population means, with $H _ { 0 } : \mu _ { A } = \mu _ { \mathrm { B } } = \mu _ { C } = \mu _ { D }$. 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 Answer of Suppose you are to test for equality of four different population means, with $H _ { 0 } : \mu _ { A } = \mu _ { \mathrm { B } } = \mu _ { C } = \mu _ { D }$. 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.

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

Suppose You Are to Test for Equality of Four Different $H _ { 0 } : \mu _ { A } = \mu _ { \mathrm { B } } = \mu _ { C } = \mu _ { D }$