Exam 12: Experimental Design and Analysis of Variance

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The variable of interest in an experiment is referred to as the ________ variable.

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Consider the following one-way ANOVA table. Consider the following one-way ANOVA table.    What is the value of the F statistic? What is the value of the F statistic?

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  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error? Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for error?

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Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. The response variable is sales in millions of dollars, and the 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 equally divided into 4 treatments. The response variable is sales in millions of dollars, and the four treatment levels represent the four regions that the company serves. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval. = 39 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. The response variable is sales in millions of dollars, and the four treatment levels represent the four regions that the company serves. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval. = 33 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. The response variable is sales in millions of dollars, and the four treatment levels represent the four regions that the company serves. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval. = 43 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. The response variable is sales in millions of dollars, and the four treatment levels represent the four regions that the company serves. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval. = 49 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. The response variable is sales in millions of dollars, and the four treatment levels represent the four regions that the company serves. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval. = 31 Perform a pairwise comparison between treatment mean 3 and treatment mean 4 by computing a Tukey 90 percent simultaneous confidence interval.

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Suppose you are a researcher investigating the annual sales differences among five categories of businesses. The study looks at 55 companies equally divided among categories A, B, C, D, and E. Complete the following ANOVA table and determine the value of the F statistic. Suppose you are a researcher investigating the annual sales differences among five categories of businesses. The study looks at 55 companies equally divided among categories A, B, C, D, and E. Complete the following ANOVA table and determine the value of the F statistic.

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Consider the following partial analysis of variance table from a randomized block design with 10 blocks and 6 treatments. Consider the following partial analysis of variance table from a randomized block design with 10 blocks and 6 treatments.    Determine the degrees of freedom for the blocks. Determine the degrees of freedom for the blocks.

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In one-way ANOVA, other factors being equal, the further apart the treatment means are from each other, the more likely we are to reject the null hypothesis associated with the ANOVA F test.

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What is the degrees of freedom error (within-group variation) of a completely randomized design (one-way) ANOVA test with 4 groups and 15 observations per each group?

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Consider a two-way analysis of variance experiment with treatment factors A and B. The results are summarized below. Consider a two-way analysis of variance experiment with treatment factors A and B. The results are summarized below.    Find an individual 95 percent confidence interval of the mean response of 25.1 obtained when using level 1 of factor A and level 2 of factor B. Find an individual 95 percent confidence interval of the mean response of 25.1 obtained when using level 1 of factor A and level 2 of factor B.

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Which one of the following is not an assumption of one-way analysis of variance?

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In performing a one-way ANOVA, ________ measures the variability of the observed values around their respective means by summing the squared differences between each observed value of the response and its corresponding treatment mean.

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Consider the following one-way ANOVA table. Consider the following one-way ANOVA table.    If there is an equal number of observations in each group, then each group (treatment level) consists of how many observations? If there is an equal number of observations in each group, then each group (treatment level) consists of how many observations?

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Experimental data are collected so that the values of the dependent variables are set before the values of the independent variable are observed.

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Find a Tukey simultaneous 95 percent confidence interval for μC − μB, where Find a Tukey simultaneous 95 percent confidence interval for μ<sub>C</sub> − μ<sub>B</sub>, where   = 51.5,   = 55.8, and MSE = 6.125. There were 4 treatments and 24 observations total, and the number of observations were equal in each group. = 51.5, Find a Tukey simultaneous 95 percent confidence interval for μ<sub>C</sub> − μ<sub>B</sub>, where   = 51.5,   = 55.8, and MSE = 6.125. There were 4 treatments and 24 observations total, and the number of observations were equal in each group. = 55.8, and MSE = 6.125. There were 4 treatments and 24 observations total, and the number of observations were equal in each group.

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In a completely randomized (one-way) ANOVA, with other things being equal, as the sample means get closer to each other, the probability of rejecting the null hypothesis decreases.

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  Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments? Consider the randomized block design with 4 blocks and 3 treatments given above. What are the degrees of freedom for treatments?

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When computing confidence intervals using the Tukey procedure, for all possible pairwise comparisons of means, the experimentwise error rate will be

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Looking at four different diets, a researcher randomly assigned 20 equally overweight individuals into each of the four diets. What are the degrees of freedom total?

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A sum of squares that measures the total amount of variability in the observed values of the response variable is referred to as the

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Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Compute a 95 percent confidence interval for the second treatment mean. = 39 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Compute a 95 percent confidence interval for the second treatment mean. = 33 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Compute a 95 percent confidence interval for the second treatment mean. = 43 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Compute a 95 percent confidence interval for the second treatment mean. = 49 Consider the following calculations for a one-way analysis of variance from a completely randomized design with 20 total observations equally divided into 4 treatments. MSE = 101.25   = 39   = 33   = 43   = 49   = 31 Compute a 95 percent confidence interval for the second treatment mean. = 31 Compute a 95 percent confidence interval for the second treatment mean.

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