Exam 13: Experimental Design and Analysis of Variance

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In the analysis of variance procedure (ANOVA), "factor" refers to

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Consider the following information. ​ Consider the following information. ​   ​ The mean square due to treatments (MSTR) equals ​ The mean square due to treatments (MSTR) equals

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In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6.The MSE for this situation is

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The critical F value with 8 numerator and 29 denominator degrees of freedom at α = .05 is

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

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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 ​ The mean square due to treatments (MSTR) is

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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

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A completely randomized design is useful when the experimental units are

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The required condition for using an ANOVA procedure on data from several populations is that the

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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 null hypothesis should ​ The null hypothesis is to be tested at the 1% level of significance.The null hypothesis should

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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 null hypothesis ​ The null hypothesis is to be tested at the 1% level of significance.The null hypothesis

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

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Random samples were selected from three populations.The data obtained are shown below.Please note that the sample sizes are not equal. Random samples were selected from three populations.The data obtained are shown below.Please note that the sample sizes are not equal.   ​  a. Compute the overall mean   .  b. At α = .01 using the critical value and p-value approaches, test to see if there is a significant difference among the treatment means. ​ a. Compute the overall mean Random samples were selected from three populations.The data obtained are shown below.Please note that the sample sizes are not equal.   ​  a. Compute the overall mean   .  b. At α = .01 using the critical value and p-value approaches, test to see if there is a significant difference among the treatment means. . b. At α = .01 using the critical value and p-value approaches, test to see if there is a significant difference among the treatment means.

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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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An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 20 observations.The critical value of F occurs with

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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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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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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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