In a test of weight loss programs, 160 subjects were divided such that 32 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. df MS P-value F crit Source of Variation Between Groups Within Groups 130.35122 3.8443 0.005237 2.869395 521.405 5255.687 155 33.90766 Total 5777.092 159 Should the null hypothesis that all the diets have the same mean weight loss be rejected? O A. No, because the P-value is greater than the significance level. B. Yes, because the P-value is less than the significance level. O C. Yes, because the P-value is greater than the significance level. O D. No, because the P-value is less than the significance level.
In a test of weight loss programs, 160 subjects were divided such that 32 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. df MS P-value F crit Source of Variation Between Groups Within Groups 130.35122 3.8443 0.005237 2.869395 521.405 5255.687 155 33.90766 Total 5777.092 159 Should the null hypothesis that all the diets have the same mean weight loss be rejected? O A. No, because the P-value is greater than the significance level. B. Yes, because the P-value is less than the significance level. O C. Yes, because the P-value is greater than the significance level. O D. No, because the P-value is less than the significance level.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Transcribed Image Text:In a test of weight loss programs, 160 subjects were divided such that 32 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.
df
MS
F
P-value
F crit
Source of Variation
130.35122 3.8443
0.005237
2.869395
521.405
Between Groups
Within Groups
5255.687
155 33.90766
Total
5777.092
159
Should the null hypothesis that all the diets have the same mean weight loss be rejected?
O A. No, because the P-value is greater than the significance level.
O B. Yes, because the P-value is less than the significance level.
O C. Yes, because the P-value is greater than the significance level.
O D. No, because the P-value is less than the significance level.
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