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7:35 ..| LTE C3- Take Quiz Exit D Question 8 1 pts An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what is detween treatments? 02 035 033 011 D Question 9 1 pts In analysis of variance, what is measured by the MS values? 0 The average distance from one mean to another 0 Sample variance 0 The total variability for the set of N scores 0 Population variance 7:35 .01 LTE Take Quiz Exit All three of the population means are different from each other. Question 3 1 pts When comparing more than two treatment means, why should you use an analysis of variance instead of using multiple t tests? O Using multiple t tests increases the risk of a Type I error. O The analysis of variance is more likely to detect a treatment effect. O There is no advantage to using an analysis of variance instead of multiple t tests. O Using multiple t tests increases the risk of a Type II error. Question 4 1 pts In an analysis of variance, differences caused by treatment effects contribute to which of the following variances?7:35 ..| LTE C)- Take Quiz Exit D Question 2 1 pts For an ANOVA comparing three treatment conditions, what is stated by the alternative hypothesis (H1)? 0 There are no differences between any of the population means. 0 None of the other choices is correct. 0 At least one of the three population means is different from another mean. 0 All three of the population means are different from each other. D Question 3 1 pts When comparing more than two treatment means, why should you use an analysis of variance instead of using multiple 1 tests? 0 Using multiple t tests increases the risk of a Type I error. 0 The analysis of variance is more likely to detect a treatment effect. 7:35 ..| LTE C)- Take Quiz Exit D Question 1 1 pts For an ANOVA comparing three treatment conditions, what is stated by the null hypothesis (Ho)? 0 There are no differences between any of the population means. 0 All three of the population means are different from each other. 0 At least one of the three population means is different from another mean. 0 None of the other choices is correct. D Question 2 1 pts For an ANOVA comparing three treatment conditions, what is stated by the alternative hypothesis (H1)? 0 There are no differences between any of the population means. 0 None of the other choices is correct. 0 At least one of the three population means is different from another mean. 7:35 ..| LTE C3- Take Quiz Exit D Question 13 1 pts In general, what factors are most likely to reject the null hypothesis for an ANOVA? 0 Large mean differences and large variances 0 Small mean differences and small variances 0 Large mean differences and small variances 0 Small mean differences and large variances D Question 14 1 pts What is the purpose of posttests? 0 None of these 0 To determine how much difference exists between the treatments 0 To determine which treatments are signicantly different 0 To determine whether a Type I error was committed 7:35 ..| LTE C3- Take Quiz Exit D Question 6 1 pts In an ANOVA, what is represented by the letter N? O The total number of scores in the entire study 0 The sum of the scores in the total research study 0 The number of scores in a specic treatment 0 The sum of the scores in a specic treatment D Question 7 1 pts An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what is dftotal? 035 011 O2 033 7:35 ..| LTE C)- Take Quiz Exit D Question 10 1 pts A researcher uses analysis of variance to test for mean differences among three treatments with a sample of n = 12 in each treatment. The F -ratio for this analysis would have what df values? 02,35 02,33 D Question 11 1 pts Which of the following describes a typical distribution of F -ratios? 0 Negatively skewed with all values greater than or equal to zero 0 Symmetrical with a mean equal to dfbetween O Symmetrical with a mean of zero 0 Positively skewed with all values greater than or equal to zero 7:35 .01 LTE Take Quiz Exit Question 4 1 pts In an analysis of variance, differences caused by treatment effects contribute to which of the following variances? O Neither between-treatments variance nor within-treatments variance O Between-treatments variance but not within- treatments variance Both between-treatments variance and within- treatments variance O Within-treatments variance but not between- treatments variance Question 5 1 pts On average, what value is expected for the F-ratio if the null hypothesis is true? O 1.00 Ok- 1 ON-k7:35 .01 LTE Take Quiz Exit O Within-treatments variance but not between- treatments variance D Question 5 1 pts On average, what value is expected for the F-ratio if the null hypothesis is true? OO O 1.00 Ok- 1 ON-K Question 6 1 pts In an ANOVA, what is represented by the letter N? O The total number of scores in the entire study O The sum of the scores in the total research study O The number of scores in a specific treatment O The sum of the ccome in a anecific treatment7:35 ..| LTE C]- Take Quiz Exit What IS the purpose OI posttests'! 0 None of these 0 To determine how much difference exists between the treatments 0 To determine which treatments are signicantly different 0 To determine whether a Type I error was committed D Question 15 1 pts The larger the differences among the sample means, the larger the numerator of the F -ratio will be. 0 True Quiz saved at 7:35pm Submit Quiz Time Elapsed: Hide Time Attempt due: Jun 26 at mill! 7:35 .01 LTE Take Quiz Exit Question 12 1 pts If an analysis of variance is used for the following data, what would be the effect of changing the value of M1 to 20? Sample Data M1 = 15 M2= 25 SS1 = 90 SS2 = 70 O Increase SSbetween and decrease the F-ratio O Decrease SSbetween and increase the F-ratio O Decrease SSbetween and decrease the F-ratio O Increase SSbetween and increase the F-ratio Question 13 1 pts In general, what factors are most likely to reject the null hypothesis for an ANOVA? O Large mean differences and large variances O Small mean differences and small variances O Large mean differences and small variances