Exam 11: Experimental Design and Analysis of Variance

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Consider the one-way ANOVA table. Consider the one-way ANOVA table.   What is the mean square error? What is the mean square error?

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Consider the following partial analysis of variance table from a randomized block design with 6 blocks and 4 treatments. Consider the following partial analysis of variance table from a randomized block design with 6 blocks and 4 treatments.   Calculate the degrees of freedom for blocks. Calculate the degrees of freedom for blocks.

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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:

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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.   What is the mean square error? What is the mean square error?

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The ___________________ units are the entities (objects,people,etc. )to which the treatments are assigned.

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When using a completely randomized design (one - way analysis of variance),the calculated F statistic will decrease

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Find Tukey's simultaneous 95 percent confidence interval for Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group. where Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group. C = 51.5, Find Tukey's simultaneous 95 percent confidence interval for   where   <sub>C</sub> = 51.5,   <sub>B</sub> = 55.8,and MSE = 6.125.There were 4 treatments and 24 observations total and the number of observations were equal in each group. B = 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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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 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval. 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 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval. 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 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval. 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 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval. 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 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval. 4 = 31 Perform a pairwise comparison between treatment mean 1 and treatment mean 4 by computing a Tukey 95% simultaneous confidence interval.

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In general,a Tukey simultaneous 100 (1 - In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval. )percent confidence interval is _____ than the corresponding individual 100 (1 - In general,a Tukey simultaneous 100 (1 -   )percent confidence interval is _____ than the corresponding individual 100 (1 -   )percent confidence interval. )percent confidence interval.

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  Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares? Consider the randomized block design with 4 blocks and 3 treatments given above. What is the error sum of squares?

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In one-way ANOVA,a large value of F results when the within-treatment variability is large compared to the between-treatment variability.

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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 is:

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In a completely randomized ANOVA,other things equal as the sample means get closer to each other,the probability of rejecting the null hypothesis:

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When we compute 100 (1 - α\alpha )confidence intervals,the value of α\alpha is called the

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

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Consider the one-way ANOVA table. Consider the one-way ANOVA table.   If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations. If there are an equal number of observations in each group,then each group (treatment level)consists of ______ observations.

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Consider the following partial analysis of variance table from a randomized block design with 6 blocks and 4 treatments. Consider the following partial analysis of variance table from a randomized block design with 6 blocks and 4 treatments.   Test H<sub>0</sub>: There is no difference between blocks at   = .05. Test H0: There is no difference between blocks at Consider the following partial analysis of variance table from a randomized block design with 6 blocks and 4 treatments.   Test H<sub>0</sub>: There is no difference between blocks at   = .05. = .05.

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We have just performed a one-way ANOVA on a given set of data and did not reject the null hypothesis for the ANOVA F test.Assume that we are able to perform a randomized block design ANOVA on the same data.For the randomized block design ANOVA,the null hypothesis for equal treatments will ______ be rejected.

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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.   Test H<sub>o</sub>: there is no difference between blocks at   = .05. Test Ho: there is no difference between blocks at Consider the following partial analysis of variance table from a randomized block design with 10 blocks and 6 treatments.   Test H<sub>o</sub>: there is no difference between blocks at   = .05. = .05.

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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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