You collect body mass index data from young (18- 40), middle-aged (40-60), and older (60+) adults (20 subjects per age group). You run a Levene's test and find a p-value of p-D0.454. Shapiro-Wilk tests result in p-values of p=0.044 for young, p=0.365 for middle-aged, and p-0.221 for older, so the data be treated as normally distributed. (A) can (B) cannot You therefore run a significant difference in mean BMI between groups, finding an omnibus p-value of p=0.034. to test for a (A) Repeated measures ANOVA (B) Friedman's Test (C) One-way ANOVA (D) Kruskal-Wallis ANOVA

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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You collect body mass index data from young (18-
40), middle-aged (40-60), and older (60+) adults
(20 subjects per age group). You run a Levene's
test and find a p-value of p=D0.454. Shapiro-Wilk
tests result in p-values of p30.044 for young,
p=0.365 for middle-aged, and p%3D0.221 for older,
so the data
distributed.
be treated as normally
(A) can
(B) cannot
You therefore run a
to test for a
significant difference in mean BMI between
groups, finding an omnibus p-value of p=D0.034.
(A) Repeated measures ANOVA
(B) Friedman's Test
(C) One-way ANOVA
(D) Kruskal-Wallis ANOVA
Transcribed Image Text:You collect body mass index data from young (18- 40), middle-aged (40-60), and older (60+) adults (20 subjects per age group). You run a Levene's test and find a p-value of p=D0.454. Shapiro-Wilk tests result in p-values of p30.044 for young, p=0.365 for middle-aged, and p%3D0.221 for older, so the data distributed. be treated as normally (A) can (B) cannot You therefore run a to test for a significant difference in mean BMI between groups, finding an omnibus p-value of p=D0.034. (A) Repeated measures ANOVA (B) Friedman's Test (C) One-way ANOVA (D) Kruskal-Wallis ANOVA
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