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 where 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 summary quantities appear in the table below. (Use a statistical computer package to calculate the P-value. Subtract the carbohydrate replacement times from the chocolate milk times. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.) 7.01 Cyclist Chocolate Milk t = df = 16 P-value = 0.0000 Time to Exhaustion (minutes) 1 2 3 4 5 6 X X x 7 8 9 Carbohydrate 30.82 36.24 12.77 39.06 35.21 22.40 5.44 41.29 27.17 Replacement 59.17 48.83 36.88 25.33 33.49 52.72 56.53 57.22 49.65 Is there sufficient evidence to suggest that the mean time to exhaustion is greater after chocolate milk than after carbohydrate replacement drink? Use a significance level of 0.05. Yes O No
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 where 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 summary quantities appear in the table below. (Use a statistical computer package to calculate the P-value. Subtract the carbohydrate replacement times from the chocolate milk times. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.) 7.01 Cyclist Chocolate Milk t = df = 16 P-value = 0.0000 Time to Exhaustion (minutes) 1 2 3 4 5 6 X X x 7 8 9 Carbohydrate 30.82 36.24 12.77 39.06 35.21 22.40 5.44 41.29 27.17 Replacement 59.17 48.83 36.88 25.33 33.49 52.72 56.53 57.22 49.65 Is there sufficient evidence to suggest that the mean time to exhaustion is greater after chocolate milk than after carbohydrate replacement drink? Use a significance level of 0.05. Yes O No
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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Question
Transcribed Image Text: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 where 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 summary quantities appear in the table below. (Use a statistical computer package to calculate the P-value. Subtract
the carbohydrate replacement times from the chocolate milk times. Round your test statistic to two decimal places, your df down to
the nearest whole number, and your P-value to three decimal places.)
t = 7.01
O No
Cyclist
Chocolate
Milk
df = 16
P-value= 0.0000
You m
Time to Exhaustion (minutes)
1 2 3 4 5 6
59.17 48.83 36.88 25.33 33.49 52.72 56.53 57.22 49.65
x
X
x
Carbohydrate 30.82 36.24 12.77 39.06 35.21 | 22.40 5.44 41.29 27.17
Replacement
Is there sufficient evidence to suggest that the mean time to exhaustion is greater after chocolate milk than after carbohydrate
replacement drink? Use a significance level of 0.05.
Yes
7
in Appendix
nowor
8 9
thi quontion
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