In a test of weight loss programs, 200 subjects were divided such that 40 subjects followed each of 5 diets. Each was weighed a year after starting the diet and the results are in the ANOVA table below. Use a 0.025 significance level to test the claim that the mean weight loss is the same for the different diets. Source of Variation SS MS F P-value F crit 0.004046 2.852020 Between Groups Within Groups Total df 523.501 4 130.87535 3.9688 6430.330 195 32.97605 6953.831 199 ... Should the null hypothesis that all the diets have the same mean weight loss be rejected? OA. Yes, because the P-value is less than the significance level. OB. No, because the P-value is less than the significance level. OC. No, because the P-value is greater than the significance level. O D. Yes, because the P-value is greater than the significance level.
In a test of weight loss programs, 200 subjects were divided such that 40 subjects followed each of 5 diets. Each was weighed a year after starting the diet and the results are in the ANOVA table below. Use a 0.025 significance level to test the claim that the mean weight loss is the same for the different diets. Source of Variation SS MS F P-value F crit 0.004046 2.852020 Between Groups Within Groups Total df 523.501 4 130.87535 3.9688 6430.330 195 32.97605 6953.831 199 ... Should the null hypothesis that all the diets have the same mean weight loss be rejected? OA. Yes, because the P-value is less than the significance level. OB. No, because the P-value is less than the significance level. OC. No, because the P-value is greater than the significance level. O D. Yes, because the P-value is greater than the significance level.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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