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Four Independent Samples of 100 Values Each Are Randomly Drawn μ1=μ2=μ3\mu _ { 1 } = \mu _ { 2 } = \mu _ { 3 }

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Four independent samples of 100 values each are randomly drawn from populations that are normally distributed with equal variances. You wish to test the claim that μ1=μ2=μ3\mu _ { 1 } = \mu _ { 2 } = \mu _ { 3 } =μ4= \mu _ { 4 }
i) If you test the individual claims μ1=μ2,μ1=μ3,μ1=μ4,,μ3=μ4\mu _ { 1 } = \mu _ { 2 } , \mu _ { 1 } = \mu _ { 3 } , \mu _ { 1 } = \mu _ { 4 } , \ldots , \mu _ { 3 } = \mu _ { 4 } , how many ways can you pair off the 4 means?
ii) Assume that the tests are independent and that for each test of equality between two means, there is a 0.990.99 probability of not making a type I error. If all possible pairs of means are tested for equality, what is the probability of making no type I errors?
iii) If you use analysis of variance to test the claim that μ1=μ2=μ3=μ4\mu _ { 1 } = \mu _ { 2 } = \mu _ { 3 } = \mu _ { 4 } at the 0.010.01 level of significance, what is the probability of not making a type I error?


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