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Compute the relevant statistic and if the result is significant, indicate what is driving this effect. a. The significant difference across brands were driven by a significant difference in one pair of supplements. O b. The significant difference across supplements was because one brand was significantly different from the other two groups. c. There was no significant difference across groups. d. All three supplements were significantly different from each other. Three brands of health supplements are to be compared by testing each brand on a group of ten individuals. Thirty individuals are randomly selected and divided into three groups of ten each. Then each group receives a different brand of health supplement. The health outcomes, measured in a specific metric, for each group are as follows. Supp A Supp B Supp C 1.89 1.44 1.73 1.79 1.40 1.75 1.72 1.33 1.79 1.64 1.24 1.76 1.60 1.28 1.69 1.62 1.50 1.90 1.71 1.60 1.73 1.88 1.24 1.72 2.28 1.15 1.74 2.02 1.29 3.34

Compute the relevant statistic and if the result is significant, indicate what is driving this effect. a. The significant difference across brands were driven by a significant difference in one pair of supplements. O b. The significant difference across supplements was because one brand was significantly different from the other two groups. c. There was no significant difference across groups. d. All three supplements were significantly different from each other. Three brands of health supplements are to be compared by testing each brand on a group of ten individuals. Thirty individuals are randomly selected and divided into three groups of ten each. Then each group receives a different brand of health supplement. The health outcomes, measured in a specific metric, for each group are as follows. Supp A Supp B Supp C 1.89 1.44 1.73 1.79 1.40 1.75 1.72 1.33 1.79 1.64 1.24 1.76 1.60 1.28 1.69 1.62 1.50 1.90 1.71 1.60 1.73 1.88 1.24 1.72 2.28 1.15 1.74 2.02 1.29 3.34

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 3E
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Compute the relevant statistic and if the result is significant, indicate what is driving this effect. a. The significant difference across brands were driven by a significant difference in one pair of supplements. O b. The significant difference across supplements was because one brand was significantly different from the other two groups. c. There was no significant difference across groups. d. All three supplements were significantly different from each other.
Transcribed Image Text:Compute the relevant statistic and if the result is significant, indicate what is driving this effect. a. The significant difference across brands were driven by a significant difference in one pair of supplements. O b. The significant difference across supplements was because one brand was significantly different from the other two groups. c. There was no significant difference across groups. d. All three supplements were significantly different from each other.
Three brands of health supplements are to be compared by testing each brand on a group of ten individuals. Thirty individuals are randomly selected and divided into three groups of ten each. Then each group receives a different brand of health supplement. The health outcomes, measured in a specific metric, for each group are as follows. Supp A Supp B Supp C 1.89 1.44 1.73 1.79 1.40 1.75 1.72 1.33 1.79 1.64 1.24 1.76 1.60 1.28 1.69 1.62 1.50 1.90 1.71 1.60 1.73 1.88 1.24 1.72 2.28 1.15 1.74 2.02 1.29 3.34
Transcribed Image Text:Three brands of health supplements are to be compared by testing each brand on a group of ten individuals. Thirty individuals are randomly selected and divided into three groups of ten each. Then each group receives a different brand of health supplement. The health outcomes, measured in a specific metric, for each group are as follows. Supp A Supp B Supp C 1.89 1.44 1.73 1.79 1.40 1.75 1.72 1.33 1.79 1.64 1.24 1.76 1.60 1.28 1.69 1.62 1.50 1.90 1.71 1.60 1.73 1.88 1.24 1.72 2.28 1.15 1.74 2.02 1.29 3.34
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