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Conduct Analysis of Variance on the Randomized Complete Block Design μ1\mu _ { 1 }

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Conduct Analysis of Variance on the Randomized Complete Block Design
-Assume that the data below come from populations that are normally distributed with the same variance. Let μ1\mu _ { 1 } be the mean for treatment 1,μ21 , \mu _ { 2 } the mean for treatment 2 , and μ3\mu _ { 3 } the mean for treatment 3 . In a test of H0\mathrm { H } _ { 0 } : μ1=μ2=μ3\mu _ { 1 } = \mu _ { 2 } = \mu _ { 3 } versus H1\mathrm { H } _ { 1 } : at least one of the means is different, the null hypothesis is rejected at the α=0.05\alpha = 0.05 level of significance. Use Tukey's test to determine which pairwise means differ using a familywise error rate of α=0.05\alpha = 0.05 . Give the P\mathrm { P } -value for each of the pairwise tests and state your conclusion.
 Conduct Analysis of Variance on the Randomized Complete Block Design -Assume that the data below come from populations that are normally distributed with the same variance. Let  \mu _ { 1 }  be the mean for treatment  1 , \mu _ { 2 }  the mean for treatment 2 , and  \mu _ { 3 }  the mean for treatment 3 . In a test of  \mathrm { H } _ { 0 }  :  \mu _ { 1 } = \mu _ { 2 } = \mu _ { 3 }  versus  \mathrm { H } _ { 1 }  : at least one of the means is different, the null hypothesis is rejected at the  \alpha = 0.05  level of significance. Use Tukey's test to determine which pairwise means differ using a familywise error rate of  \alpha = 0.05 . Give the  \mathrm { P } -value for each of the pairwise tests and state your conclusion.


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