Exam 13: Experimental Design and Analysis of Variance

arrow
  • Select Tags
search iconSearch Question
flashcardsStudy Flashcards
  • Select Tags

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

(Multiple Choice)
4.9/5
(29)

When an analysis of variance is performed on samples drawn from k populations, the mean square due to treatments (MSTR) is

(Multiple Choice)
4.8/5
(38)

In the ANOVA, treatments refer to

(Multiple Choice)
4.9/5
(29)

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 between-treatments is

(Multiple Choice)
4.9/5
(37)

Three universities in your state decided to administer the same comprehensive examination to the recipients of MBA degrees from the three institutions. From each institution, MBA recipients were randomly selected and were given the test. The following table shows the scores of the students tested by each university. Three universities in your state decided to administer the same comprehensive examination to the recipients of MBA degrees from the three institutions. From each institution, MBA recipients were randomly selected and were given the test. The following table shows the scores of the students tested by each university.   ​ At α = .01, test to see if there is any significant difference in the average scores of all the students who took the exam from the three universities. (Note that the sample sizes are not equal.) Use both the critical and p-value approaches. ​ At α = .01, test to see if there is any significant difference in the average scores of all the students who took the exam from the three universities. (Note that the sample sizes are not equal.) Use both the critical and p-value approaches.

(Essay)
4.8/5
(33)

Consider the following ANOVA table. ​ Consider the following ANOVA table. ​   ​ The test statistic to test the null hypothesis equals ​ The test statistic to test the null hypothesis equals

(Multiple Choice)
4.8/5
(39)

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

(Multiple Choice)
4.9/5
(28)

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

(Multiple Choice)
4.8/5
(43)

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

(Multiple Choice)
4.8/5
(37)

In an analysis of variance, one estimate of σ2 is based upon the differences between the treatment means and the

(Multiple Choice)
4.7/5
(44)

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 test statistic to test the null hypothesis equals ​ The test statistic to test the null hypothesis equals

(Multiple Choice)
4.9/5
(28)

Which of the following is not a required assumption for the analysis of variance?

(Multiple Choice)
4.7/5
(39)

In a factorial experiment, if there are x levels of factor A and y levels of factor B, there is a total of​

(Multiple Choice)
4.9/5
(35)

The process of using the same or similar experimental units for all treatments is called

(Multiple Choice)
4.8/5
(33)

For four populations, the population variances are assumed to be equal. Random samples from each population provide the following data. For four populations, the population variances are assumed to be equal. Random samples from each population provide the following data.   ​ Using a .05 level of significance, test to see if the means for all four populations are the same. ​ Using a .05 level of significance, test to see if the means for all four populations are the same.

(Short Answer)
4.7/5
(30)

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 error (MSE) equals ​ The mean square due to error (MSE) equals

(Multiple Choice)
4.8/5
(35)

The process of allocating the total sum of squares and degrees of freedom to the various components is called

(Multiple Choice)
4.8/5
(39)

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

(Multiple Choice)
4.8/5
(42)

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

(Multiple Choice)
4.8/5
(36)

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

(Multiple Choice)
4.7/5
(23)
Showing 41 - 60 of 76
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)