Reduce the probability of rejecting the null hypothesis

Assignment Help Mathematics

Reference no: EM134002513

Questions

1. In analysis of variance, large sample variances reduce the probability of rejecting the null hypothesis.

a) True

b) False

2. In the second stage of repeated measures ANOVA, individual differences are removed from the denominator of the F-ratio.

a) True

b) False

3. 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.

a) True

b) False

4. The greater the differences between sample means, the higher the numerator of the F-ratio.

a) True

b) False

5. SSbetween measures the size of differences in means between treatments.

a) True

b) False

6. The distribution of F-ratios is negatively skewed.

a) True

b) False

7. F-ratios are always greater than or equal to zero.

a) True

b) False

8. An F-ratio close to 1.00 indicates that the null hypothesis is probably true.

a) True

b) False

9. 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.

a) True

b) False

10. Post-tests such as Scheffé are not necessary for an analysis of variance comparing only two treatment conditions.

a) True

b) False

11. 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.

a) True

b) False

12. For repeated measures analysis, the F ratio is expected to be zero on average when H0 is true.

a) True

b) False

13. 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.

a) True

b) False

14. Post-tests are only necessary if H0 is rejected in an ANOVA comparing more than two treatments.

a) True

b) False

15. Because repeated-measures ANOVA eliminates variance caused by individual differences, it is generally more likely to detect a treatment effect than independent-measures ANOVA.

a) True

b) False

16. 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.

a) True

b) False

17. For an independent measures ANOVA comparing four treatment conditions, dfbetween = 3.

a) True

b) False

18. 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.

a) True

b) False

19. For an independent two-factor analysis of variance, all F ratios use the same denominator.

a) True

b) False

20. 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.

a) True

b) False

Reference no: EM134002513

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