How is this solved using JMP software??? To determine if chocolate milk was as e
ID: 3356517 • Letter: H
Question
How is this solved using JMP software???
To determine if chocolate milk was as effective as other carbohydrate replacement drinks, nine male cyclists performed an intense workout followed by a drink and a rest period. At the end of the rest period, each cyclist performed an endurance trial in which he exercised until exhausted and time to exhaustion was measured. Each cyclist completed the entire regimen on two different days. On one day the drink provided was chocolate milk and on the other day the drink provided was a carbohydrate replacement drink. Data consistent with sum- mary quantities appearing in the paper The Efficacy of Chocolate Milk as a Recovery Aid" (Medicine and Science in Sports and Exercise [2004]: S126) appear in the table at the top of the page. Is there evidence that the mean time to exhaustion is greater after chocolate milk than after carbohydrate replacement drink? Use a significance level of.05. Table for Exercise 1124 Time to Exhaustion (minutes) Cyclist Chocolate Milk Carbohydrate Replacement10.02 2996 3740 15.52 9.11 21.58 3123 2204 17.02 24.85 50,09 38.30 26 3654 264 36.13 4735 35.08Explanation / Answer
Two-Sample T-Test and CI: Chocolate milk, carbohydrate Replacement
Two-sample T for Chocolate milk vs carbohydrate Replacement
N Mean StDev SE Mean
Chocolate milk 9 35.62 9.03 3.0
carbohydrate Replacement 9 21.54 9.75 3.2
Difference = mu (Chocolate milk) - mu (carbohydrate Replacement)
Estimate for difference: 14.08
95% lower bound for difference: 6.31
T-Test of difference = 0 (vs >): T-Value = 3.18 P-Value = 0.003 DF = 15
p-value <0.05 so we reject null hypothesis. we conclude that there no evidence that mean time to exhaution is greater afte chocolate milk than carbohydrate Replacement drink.
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