QUESTION 1 We use the analysis of variance (ANOVA) technique to compare two or more population means. True O False QUE

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QUESTION 1 We use the analysis of variance (ANOVA) technique to compare two or more population means. True O False QUE

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QUESTION 1 We use the analysis of variance (ANOVA) technique to compare two or more population means. True O False

QUESTION 2 In one-way ANOVA, the test statistic is defined as the ratio of the mean square for error (MSE) and the mean square for treatments (MST), namely, F = MSE/MST. O True False

QUESTION 3 If the numerator (MST) degrees of freedom is 3 and the denominator (MSE) degrees of freedom is 18, the total number of observations must equal 21. O True O False

QUESTION 4 In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if: O a. MST is much larger than MSE. O b. MST is much smaller than MSE. OC. MST is equal to MSE. O d. None of these choices.

QUESTION 5 In a one-way ANOVA, error variability is computed as the sum of the squared errors, SSE, for all values of the response variable. This variability is the: O a. the total variation O b.within-treatments variation. O c. between-treatments variation. O d. None of these choices.
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