Exam 11: Analysis of Variance

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SCENARIO 11-7 A student team in a business statistics course designed an experiment to investigate whether the brand of bubblegum used affected the size of bubbles they could blow.To reduce the person-to-person variability,the students decided to use a randomized block design using themselves as blocks. Four brands of bubblegum were tested.A student chewed two pieces of a brand of gum and then blew a bubble,attempting to make it as big as possible.Another student measured the diameter of the bubble at its biggest point.The following table gives the diameters of the bubbles (in inches)for the 16 observations. SCENARIO 11-7 A student team in a business statistics course designed an experiment to investigate whether the brand of bubblegum used affected the size of bubbles they could blow.To reduce the person-to-person variability,the students decided to use a randomized block design using themselves as blocks. Four brands of bubblegum were tested.A student chewed two pieces of a brand of gum and then blew a bubble,attempting to make it as big as possible.Another student measured the diameter of the bubble at its biggest point.The following table gives the diameters of the bubbles (in inches)for the 16 observations.    -Referring to Scenario 11-7,the null hypothesis for the randomized block F test for the difference in the means should be rejected at a 0.05 level of significance. -Referring to Scenario 11-7,the null hypothesis for the randomized block F test for the difference in the means should be rejected at a 0.05 level of significance.

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SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the mean square for the factor shape is . SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the mean square for the factor shape is . -Referring to Scenario 11-12,the mean square for the factor shape is .

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Interaction in an experimental design can be tested in

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SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations. SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,what is the p-value of the test statistic for Levene's test for homogeneity of variances? SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,what is the p-value of the test statistic for Levene's test for homogeneity of variances? -Referring to Scenario 11-5,what is the p-value of the test statistic for Levene's test for homogeneity of variances?

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SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the value of the statistic used to test for significant differences between shapes is . SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the value of the statistic used to test for significant differences between shapes is . -Referring to Scenario 11-12,the value of the statistic used to test for significant differences between shapes is .

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SCENARIO 11-2 A realtor wants to compare the mean sales-to-appraisal ratios of residential properties sold in four neighborhoods (A,B,C,and D).Four properties are randomly selected from each neighborhood and the ratios recorded for each,as shown below. A: 1.2,1.1,0.9,0.4 C: 1.0,1.5,1.1,1.3 B: 2.5,2.1,1.9,1.6 D: 0.8,1.3,1.1,0.7 Interpret the results of the analysis summarized in the following table: SCENARIO 11-2 A realtor wants to compare the mean sales-to-appraisal ratios of residential properties sold in four neighborhoods (A,B,C,and D).Four properties are randomly selected from each neighborhood and the ratios recorded for each,as shown below. A: 1.2,1.1,0.9,0.4  C: 1.0,1.5,1.1,1.3 B: 2.5,2.1,1.9,1.6  D: 0.8,1.3,1.1,0.7 Interpret the results of the analysis summarized in the following table:   -Referring to Scenario 11-2,what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance? -Referring to Scenario 11-2,what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance?

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SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations. SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,the within-group variation or SSW is . SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,the within-group variation or SSW is . -Referring to Scenario 11-5,the within-group variation or SSW is .

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SCENARIO 11-6 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants all 3 varieties of the seeds on each of 5 different patches of fields.She then measures the crop yield in bushels per acre.Treating this as a randomized block design,the results are presented in the table that follows. SCENARIO 11-6 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants all 3 varieties of the seeds on each of 5 different patches of fields.She then measures the crop yield in bushels per acre.Treating this as a randomized block design,the results are presented in the table that follows.     -Referring to Scenario 11-6,based on the Tukey multiple comparison procedure with an overall level of significance of 0.01,the agronomist would decide that there is a significant difference between the crop yield of Smith and Walsh seeds. -Referring to Scenario 11-6,based on the Tukey multiple comparison procedure with an overall level of significance of 0.01,the agronomist would decide that there is a significant difference between the crop yield of Smith and Walsh seeds.

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A campus researcher wanted to investigate the factors that affect visitor travel time in a complex,multilevel building on campus.Specifically,he wanted to determine whether different building signs (building maps versus wall signage)affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building.Three subjects were assigned to each of the combinations of signs and starting locations,and travel time in seconds from beginning to destination was recorded.How should the data be analyzed? A campus researcher wanted to investigate the factors that affect visitor travel time in a complex,multilevel building on campus.Specifically,he wanted to determine whether different building signs (building maps versus wall signage)affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building.Three subjects were assigned to each of the combinations of signs and starting locations,and travel time in seconds from beginning to destination was recorded.How should the data be analyzed?

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SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,what are the degrees of freedom of the Studentized range distribution for the Tukey multiple comparison procedure? Below is the Excel output for the randomized block design: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,what are the degrees of freedom of the Studentized range distribution for the Tukey multiple comparison procedure? -Referring to Scenario 11-8,what are the degrees of freedom of the Studentized range distribution for the Tukey multiple comparison procedure?

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SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the critical value in the test for a significant interaction is . SCENARIO 11-12 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences.     -Referring to Scenario 11-12,the critical value in the test for a significant interaction is . -Referring to Scenario 11-12,the critical value in the test for a significant interaction is .

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SCENARIO 11-2 A realtor wants to compare the mean sales-to-appraisal ratios of residential properties sold in four neighborhoods (A,B,C,and D).Four properties are randomly selected from each neighborhood and the ratios recorded for each,as shown below. A: 1.2,1.1,0.9,0.4 C: 1.0,1.5,1.1,1.3 B: 2.5,2.1,1.9,1.6 D: 0.8,1.3,1.1,0.7 Interpret the results of the analysis summarized in the following table: SCENARIO 11-2 A realtor wants to compare the mean sales-to-appraisal ratios of residential properties sold in four neighborhoods (A,B,C,and D).Four properties are randomly selected from each neighborhood and the ratios recorded for each,as shown below. A: 1.2,1.1,0.9,0.4  C: 1.0,1.5,1.1,1.3 B: 2.5,2.1,1.9,1.6  D: 0.8,1.3,1.1,0.7 Interpret the results of the analysis summarized in the following table:   -Referring to Scenario 11-2,the among group degrees of freedom is -Referring to Scenario 11-2,the among group degrees of freedom is

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SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations. SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,the null hypothesis for Levene's test for homogeneity of variances is SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,the null hypothesis for Levene's test for homogeneity of variances is -Referring to Scenario 11-5,the null hypothesis for Levene's test for homogeneity of variances is

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SCENARIO 11-10 A campus researcher wanted to investigate the factors that affect visitor travel time in a complex,multilevel building on campus.Specifically,he wanted to determine whether different building signs (building maps versus wall signage)affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building.Three subjects were assigned to each of the combinations of signs and starting locations,and travel time in seconds from beginning to destination was recorded.An Excel output of the appropriate analysis is given below: ANOVA SCENARIO 11-10 A campus researcher wanted to investigate the factors that affect visitor travel time in a complex,multilevel building on campus.Specifically,he wanted to determine whether different building signs (building maps versus wall signage)affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building.Three subjects were assigned to each of the combinations of signs and starting locations,and travel time in seconds from beginning to destination was recorded.An Excel output of the appropriate analysis is given below: ANOVA    -Referring to Scenario 11-10,the mean squares for starting location (factor B)is -Referring to Scenario 11-10,the mean squares for starting location (factor B)is

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SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,the null hypothesis for the F test for the block effects should be rejected at a 0.05 level of significance. Below is the Excel output for the randomized block design: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,the null hypothesis for the F test for the block effects should be rejected at a 0.05 level of significance. -Referring to Scenario 11-8,the null hypothesis for the F test for the block effects should be rejected at a 0.05 level of significance.

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SCENARIO 11-6 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants all 3 varieties of the seeds on each of 5 different patches of fields.She then measures the crop yield in bushels per acre.Treating this as a randomized block design,the results are presented in the table that follows. SCENARIO 11-6 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants all 3 varieties of the seeds on each of 5 different patches of fields.She then measures the crop yield in bushels per acre.Treating this as a randomized block design,the results are presented in the table that follows.     -Referring to Scenario 11-6,the randomized block F test is valid only if there is no interaction between the variety of seeds and the patches of fields. -Referring to Scenario 11-6,the randomized block F test is valid only if there is no interaction between the variety of seeds and the patches of fields.

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SCENARIO 11-4 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants 15 fields,5 with each variety.She then measures the crop yield in bushels per acre.Treating this as a completely randomized design,the results are presented in the table that follows. SCENARIO 11-4 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds.She plants 15 fields,5 with each variety.She then measures the crop yield in bushels per acre.Treating this as a completely randomized design,the results are presented in the table that follows.    -Referring to Scenario 11-4,the agronomist decided to compare the 3 treatment means by using the Tukey-Kramer procedure with an overall level of significance of 0.01.There are_____ pairwise comparisons that can be made. -Referring to Scenario 11-4,the agronomist decided to compare the 3 treatment means by using the Tukey-Kramer procedure with an overall level of significance of 0.01.There are_____ pairwise comparisons that can be made.

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SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations. SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance? SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands.The data that s in the 5 locations.     -Referring to Scenario 11-5,what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance? -Referring to Scenario 11-5,what should be the conclusion for the Levene's test for homogeneity of variances at a 5% level of significance?

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SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-9,at the 0.01 level,what conclusions can you reach from the analysis? Below is the Excel output for the randomized block design: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-9,at the 0.01 level,what conclusions can you reach from the analysis? -Referring to Scenario 11-9,at the 0.01 level,what conclusions can you reach from the analysis?

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SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,what is the value of the test statistic for the randomized block F test for the difference in the means? Below is the Excel output for the randomized block design: SCENARIO 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C)of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours)needed to learn each of the three different brands is given below:    Below is the Excel output for the randomized block design:     -Referring to Scenario 11-8,what is the value of the test statistic for the randomized block F test for the difference in the means? -Referring to Scenario 11-8,what is the value of the test statistic for the randomized block F test for the difference in the means?

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