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Part of an ANOVA table is shown below. Part of an ANOVA table is shown below.   ​ The mean square due to treatments (MSTR)  is A)  36. B)  16. C)  64. D)  15. ​ The mean square due to treatments (MSTR) is


A) 36.
B) 16.
C) 64.
D) 15.

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Consider the following information. ​ SSTR = 6750 H0: μ1 = μ2 = μ3 = μ4 = μ5 SSE = 8000 Ha: At least one mean is different ​ The null hypothesis is to be tested at the 5% level of significance. The p-value is


A) less than .01.
B) between .01 and .025.
C) between .025 and .05.
D) greater than .10.

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In an ANOVA procedure, a term that means the same as the term "variable" is


A) factor.
B) treatment.
C) replication.
D) within-variance.

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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 treatments (MSTR) is


A) 60.00.
B) 10.00.
C) 75.00.
D) 12.00.

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Consider the following information. ​ SSTR = 6750 H0: μ1234 = μ5 SSE = 8000 Ha: At least one mean is different ​ The mean square due to treatments (MSTR) equals


A) 400.
B) 500.
C) 1687.5.
D) 1350.

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In a completely randomized design involving three treatments, the following information is provided: In a completely randomized design involving three treatments, the following information is provided:   ​ The overall mean (the grand mean)  for all the treatments is A)  7.33. B)  7.00. C)  7.25. D)  8.55. ​ The overall mean (the grand mean) for all the treatments is


A) 7.33.
B) 7.00.
C) 7.25.
D) 8.55.

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The mean square is the sum of squares divided by


A) the total number of observations.
B) its corresponding degrees of freedom.
C) its corresponding degrees of freedom minus one.
D) the total number of replications.

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B

The ANOVA procedure is a statistical approach for determining whether or not the means of _____ are equal.


A) two samples
B) two or more samples
C) two populations
D) three or more populations

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In ANOVA, which of the following is not affected by whether or not the population means are equal?


A) In ANOVA, which of the following is not affected by whether or not the population means are equal? A)    B)  between-treatments estimate of σ<sup>2</sup> C)  within-treatments estimate of σ<sup>2</sup> D)  ratio of between- and within-treatments estimate of σ<sup>2</sup>
B) between-treatments estimate of σ2
C) within-treatments estimate of σ2
D) ratio of between- and within-treatments estimate of σ2

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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 is to be tested at the 1% level of significance. The p-value is A)  greater than .1. B)  between .05 to .10. C)  less than .01. D)  between .01 to .025. ​ The null hypothesis is to be tested at the 1% level of significance. The p-value is


A) greater than .1.
B) between .05 to .10.
C) less than .01.
D) between .01 to .025.

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A

Consider the following ANOVA table. ​ Consider the following ANOVA table. ​   ​ The null hypothesis is to be tested at the 1% level of significance. The null hypothesis should A)  be rejected. B)  not be rejected. C)  be revised. D)  not be tested. ​ The null hypothesis is to be tested at the 1% level of significance. The null hypothesis should


A) be rejected.
B) not be rejected.
C) be revised.
D) not be tested.

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Part of an ANOVA table is shown below. Part of an ANOVA table is shown below.   ​ If we want to determine whether or not the means of the populations are equal, the p-value is A)  greater than .1. B)  between .05 to .1. C)  between .025 to .05. D)  less than .01. ​ If we want to determine whether or not the means of the populations are equal, the p-value is


A) greater than .1.
B) between .05 to .1.
C) between .025 to .05.
D) less than .01.

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In an analysis of variance where the total sample size for the experiment is nT and the number of populations is k, the mean square due to error is


A) SSE/(nT - k) .
B) SSTR/(nT - k) .
C) SSE/(k - 1) .
D) SSTR/k.

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Part of an ANOVA table is shown below. Part of an ANOVA table is shown below.   ​ The test statistic is A)  2.25. B)  6.00. C)  2.67. D)  3.00. ​ The test statistic is


A) 2.25.
B) 6.00.
C) 2.67.
D) 3.00.

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In order to determine whether or not the means of two populations are equal,


A) a t test must be performed.
B) an analysis of variance must be performed.
C) either a t test or an analysis of variance can be performed.
D) a chi-square test can be performed.

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The F ratio in a completely randomized ANOVA is given by


A) MSTR/MSE.
B) MST/MSE.
C) MSE/MSTR.
D) MSE/MST.

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At α = .01, test to determine if the means of the three populations (from which the following samples are selected) are equal. Use both the critical and p-value approaches. At α = .01, test to determine if the means of the three populations (from which the following samples are selected) are equal. Use both the critical and p-value approaches.

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F = 12.74 > 8.02;...

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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 mean square due to treatments (MSTR)  equals A)  1.872. B)  5.86. C)  34. D)  36. ​ The mean square due to treatments (MSTR) equals


A) 1.872.
B) 5.86.
C) 34.
D) 36.

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Three major automobile manufacturers have entered their cars in the Indianapolis 500 race. The speeds (in miles per hour) of the tested cars are given below. Please note the sample sizes are not equal. Three major automobile manufacturers have entered their cars in the Indianapolis 500 race. The speeds (in miles per hour) of the tested cars are given below. Please note the sample sizes are not equal.   ​ At α = .05, test to see if there is a significant difference in the average racing speeds of the cars of the three auto manufacturers. Use both the critical and p-value approaches. ​ At α = .05, test to see if there is a significant difference in the average racing speeds of the cars of the three auto manufacturers. Use both the critical and p-value approaches.

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An ANOVA procedure is used for data obtained from four populations. Four samples, each comprised of 25 observations, were taken from the four populations. The numerator and denominator (respectively) degrees of freedom for the critical value of F are


A) 3 and 25.
B) 4 and 25.
C) 3 and 99.
D) 3 and 96.

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