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Consider the Following Calculations for a One-Way Analysis of Variance

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Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25   <sub>overall</sub> = 39   <sub>1</sub> = 33   <sub>2</sub> = 43   <sub>3</sub> = 49   <sub>4</sub> = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval. A) (1.71 34.29)  B) (-2.25 38.25)  C) (2.43 33.57)  D) (2.16 33.84) overall = 39 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25   <sub>overall</sub> = 39   <sub>1</sub> = 33   <sub>2</sub> = 43   <sub>3</sub> = 49   <sub>4</sub> = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval. A) (1.71 34.29)  B) (-2.25 38.25)  C) (2.43 33.57)  D) (2.16 33.84) 1 = 33 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25   <sub>overall</sub> = 39   <sub>1</sub> = 33   <sub>2</sub> = 43   <sub>3</sub> = 49   <sub>4</sub> = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval. A) (1.71 34.29)  B) (-2.25 38.25)  C) (2.43 33.57)  D) (2.16 33.84) 2 = 43 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25   <sub>overall</sub> = 39   <sub>1</sub> = 33   <sub>2</sub> = 43   <sub>3</sub> = 49   <sub>4</sub> = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval. A) (1.71 34.29)  B) (-2.25 38.25)  C) (2.43 33.57)  D) (2.16 33.84) 3 = 49 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations.The response variable is sales in millions of dollars and four treatment levels represent the four regions that the company serves. MSE = 101.25   <sub>overall</sub> = 39   <sub>1</sub> = 33   <sub>2</sub> = 43   <sub>3</sub> = 49   <sub>4</sub> = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval. A) (1.71 34.29)  B) (-2.25 38.25)  C) (2.43 33.57)  D) (2.16 33.84) 4 = 31
Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90% simultaneous confidence interval.


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