Question 1 (1 point) In analysis of variance, large sample variances reduce the probability of rejecting the null hypothesis. Options for question 1:

a) True

b) False

Question 2 (1 point) In the second stage of repeated measures ANOVA, individual differences are removed from the denominator of the F-ratio. Options for question 2 :

a) True

b) False

Question 3 (1 point) An ANOVA is used to determine whether there is a significant difference, and post-tests are used to determine exactly which treatment means are significantly different. The options in question 3 :

a) True

b) False

Question 4 (1 point) The greater the differences between sample means, the higher the numerator of the F-ratio. Options for question 4:

a) True

b) False

Question 5 (1 point) SSbetween measures the size of differences in means between treatments. Options for question 5:

a) True

b) False

Question 6 (1 point) The distribution of F-ratios is negatively skewed. Options for question 6:

a) True

b) False

Question 7 (1 point) F-ratios are always greater than or equal to zero. Question 7 options:

a) True

b) False

Question 8 (1 point) An F-ratio close to 1.00 indicates that the null hypothesis is probably true. The options in question 8 :

a) True

b) False

Question 9 (1 point) For an ANOVA, when the null hypothesis is true, the F-ratio is balanced so that both numerator and denominator measure the same sources of variance. The options in question 9 :

a) True

b) False

Question 10 (1 point) Post-tests such as Scheff are not necessary for an analysis of variance comparing only two treatment conditions. The options in question 10 :

a) True

b) False

Question 11 (1 point) For a repeated-measures design, differences between treatments can be caused by a treatment effect or by sampling error (random factors), but they cannot be caused by individual differences. The options in question 11 :

a) True

b) False

Question 12 (1 point) For repeated measures analysis, the F ratio is expected to be zero on average when H0 is true. Options for question 12:

a) True

b) False

Question 13 (1 point) A two-factor study compares three different treatment conditions for men (factor 1) and women (factor 2). In this study, the main effect of gender is determined by the overall mean score for men (average of the three treatments) and the corresponding overall mean score for women. Question 13 options :

a) True

b) False

Question 14 (1 point) Post-tests are only necessary if H0 is rejected in an ANOVA comparing more than two treatments. The options in question 14 :

a) True

b) False

Question 15 (1 point) Because repeated-measures ANOVA eliminates variance caused by individual differences, it is generally more likely to detect a treatment effect than independent-measures ANOVA. The options in question 15 :

a) True

b) False

Question 16 (1 point) When a two-factor experiment results in a significant interaction, care should be taken when interpreting main effects, as an interaction may distort, conceal or exaggerate the main effects of individual factors. Question 16 options:

a) True

b) False

Question 17 (1 point) For an independent measures ANOVA comparing four treatment conditions, dfbetween = 3. The options in question 17 :

a) True

b) False

Question 18 (1 point) A research report presents the results of an independent measures ANOVA as follows: F(3, 28) = 5.36, p < 0.01. The study compared three treatments. The options in question 18 :

a) True

b) False

Question 19 (1 point) For an independent two-factor analysis of variance, all F ratios use the same denominator. Options for question 19:

a) True

b) False

Question 20 (1 point) Saved A new laundry detergent is supposed to perform as well as the main brand in both hot and cold water. If the new detergent performs as expected, there should be an interaction between detergent brand and water temperature. Question 20 options :

a) True

b) False