Question 1

You have a study where you have collected data from 4 separate groups. What is the maximum number of pairwise between-group comparisons you can make in this study? Your answer should be an integer (no decimal)

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Question 2

You run a one-way ANOVA to compare mean heights across 6 different groups, finding an overall p-value of p=0.034. What new (Bonferroni-corrected) significance threshold should be used for post hoc pairwise comparisons, to determine which of the 6 groups actually differ? Round to 3 decimal places and include the leading 0 (for example, enter 0.045, not .045).

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Question 3

You collect body mass index data on subjects enrolled in three separate universities in the city. To analyze your data with a parametric test, you would use a _____________.

Group of answer choices

one-way ANOVA

Friedman's test

Kruskal-Wallis test

repeated measures ANOVA

Question 4

You collect income data from households in Memphis, Nashville, and Little Rock. To analyze your data with a parametric test, you would use a ________________.

Group of answer choices

one-way ANOVA

Friedman's test

Kruskal-Wallis ANOVA

repeated measures ANOVA

Question 5

You collect GPA data from samples of students from 5 different colleges at the university. To analyze your data with a parametric test, you would use a _____________.

Group of answer choices

one-way ANOVA

Friedman's test

Kruskal-Wallis ANOVA

repeated measures ANOVA

Question 6

You collect income data from households in Memphis, Nashville, and Little Rock. To analyze your data with a non-parametric test, you would use a ________________.

Group of answer choices

one-way ANOVA

Friedman's test

Kruskal-Wallis ANOVA

repeated measures ANOVA

Question 7

Choose one of the listed answers for each blank and enter the only the letter corresponding to that answer in each blank. The only possible answers you should put in the blanks are A, B, C, or D. You collect body mass index data from 20 subjects before (month 0), in the middle of (month 6), and after (month 12) a year-long dietary intervention. Shapiro-Wilk tests result in p-values of p=0.144 for young, p=0.365 for middle-aged, and p=0.021 for older, so the data be treated as normally distributed. (A) can (B) cannot You therefore run a to test for a significant difference inYou therefore run a to test for a significant difference in mean BMI between groups, finding an omnibus p-value of p=0.034. (A) Repeated measures ANOVA (B) Friedman's Test (C) One-way ANOVA (D) Kruskal-Wallis ANOVA [5] You can therefore [6]_ the null hypothesis. (A) Reject (B) Fail to reject [7] You conclude that [8][9]. (A) Mean BMI at all time points is different (B) Mean BMI is the same (not statistically different) at all time points (C) Mean BMI for at least one time point differs from mean BMI at all other time points (D) Mean BMI for at least one time point differs from mean BMI for at least one other time point [10]