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...


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You collect body mass index data from young (18-<br>40), middle-aged (40-60), and older (60+) adults<br>(20 subjects per age group). You run a Levene's<br>test and find a p-value of p=D0.454. Shapiro-Wilk<br>tests result in p-values of p30.044 for young,<br>p=0.365 for middle-aged, and p%3D0.221 for older,<br>so the data<br>distributed.<br>be treated as normally<br>(A) can<br>(B) cannot<br>You therefore run a<br>to test for a<br>significant difference in mean BMI between<br>groups, finding an omnibus p-value of p=D0.034.<br>(A) Repeated measures ANOVA<br>(B) Friedman's Test<br>(C) One-way ANOVA<br>(D) Kruskal-Wallis ANOVA<br>

Extracted 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

Jun 02, 2022
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