Exam 13: Experimental Design and Analysis of Variance

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The number of times each experimental condition is observed in a factorial design is known as

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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations). Also, the design provided the following information. ​ SSTR = 300 (Sum of Squares Due to Treatments) SST = 800 (Total Sum of Squares) ​ The number of degrees of freedom corresponding to within-treatments is

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An experimental design where the experimental units are randomly assigned to the treatments is known as _____ design.

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In an analysis of variance problem if SST = 120 and SSTR = 90, then SSE is

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Consider the following ANOVA table. ​ Consider the following ANOVA table. ​   ​ The mean square due to treatments equals ​ The mean square due to treatments equals

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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations). Also, the design provided the following information. ​ SSTR = 300 (Sum of Squares Due to Treatments) SST = 800 (Total Sum of Squares) ​ The mean square due to error (MSE) is

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To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below. ​ To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below. ​   ​ The null hypothesis for this ANOVA problem is ​ The null hypothesis for this ANOVA problem is

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Part of an ANOVA table is shown below. Part of an ANOVA table is shown below.   ​ At a 5% level of significance, if we want to determine whether or not the means of the populations are equal, the conclusion of the test is that ​ At a 5% level of significance, if we want to determine whether or not the means of the populations are equal, the conclusion of the test is that

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Consider the following ANOVA table. ​ Consider the following ANOVA table. ​   ​ The sum of squares due to error equals ​ The sum of squares due to error equals

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If we are testing for the equality of three population means, we should use the​

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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations). The following information is provided. ​ SSTR = 300 (Sum of Squares Due to Treatments) SST = 800 (Total Sum of Squares) ​ If we want to determine whether or not the means of the five populations are equal, the p-value is

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Consider the following ANOVA table. ​ Consider the following ANOVA table. ​   ​ The null hypothesis is to be tested at the 1% level of significance. The p-value is ​ The null hypothesis is to be tested at the 1% level of significance. The p-value is

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Part of an ANOVA table is shown below. Part of an ANOVA table is shown below.   ​ The number of degrees of freedom corresponding to within-treatments is ​ The number of degrees of freedom corresponding to within-treatments is

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The test scores for selected samples of sociology students who took the course from three different instructors are shown below. The test scores for selected samples of sociology students who took the course from three different instructors are shown below.   ​ At α = .05, test to see if there is a significant difference among the averages of the three groups. Use both the critical value and p-value approaches. ​ At α = .05, test to see if there is a significant difference among the averages of the three groups. Use both the critical value and p-value approaches.

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Random samples of employees from three different departments of MNM Corporation showed the following yearly incomes (in $1000). Random samples of employees from three different departments of MNM Corporation showed the following yearly incomes (in $1000).   ​ At α = .05, test to determine if there is a significant difference among the average incomes of the employees from the three departments. Use both the critical and p-value approaches. ​ At α = .05, test to determine if there is a significant difference among the average incomes of the employees from the three departments. Use both the critical and p-value approaches.

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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations). The following information is provided. ​ SSTR = 300 (Sum of Squares Due to Treatments) SST = 800 (Total Sum of Squares) ​ The test statistic is

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The critical F value with 6 numerator and 40 denominator degrees of freedom at α = .05 is

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Consider the following information. ​ Consider the following information. ​   ​ If n = 5, the mean square due to error (MSE) equals ​ If n = 5, the mean square due to error (MSE) equals

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The heating bills for a selected sample of houses in a city using various forms of heating are given below (values are in dollars). The heating bills for a selected sample of houses in a city using various forms of heating are given below (values are in dollars).   ​ At α = .05, test to see if there is a significant difference among the average bills of all the homes (in a city) using three forms of heating. Use both the critical and p-value approaches. ​ At α = .05, test to see if there is a significant difference among the average bills of all the homes (in a city) using three forms of heating. Use both the critical and p-value approaches.

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MNM, Inc. has three stores located in three different areas. Random samples of the daily sales of the three stores (in $1000) are shown below. MNM, Inc. has three stores located in three different areas. Random samples of the daily sales of the three stores (in $1000) are shown below.   ​ At the 1% level of significance, test to see if there is a significant difference in the average sales of the three stores. Use both the critical and p-value approaches. ​ At the 1% level of significance, test to see if there is a significant difference in the average sales of the three stores. Use both the critical and p-value approaches.

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