Question

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 the P-value to three decimal places.)

Cyclist	Time to Exhaustion (minutes)
	1	2	3	4	5	6	7	8	9
Chocolate Milk	37.83	47.64	50.32	35.58	38.90	46.71	53.13	30.36	26.12
Carbohydrate Replacement	40.98	15.40	5.32	13.42	22.15	19.04	28.80	35.94	14.95

t	=
df	=
P	=

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.

Answer 1

It is two sampled paired t test

I have performed it in MINITAB

Steps

1. Enter the data
2. Stat-basic Statistics-paired t
3.   
4. Options
5.   
6. ok-ok

Minitab output

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t=3.488

df=8

P=0.004

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As p value is less than the significence level we can say that there is sufficient evidence to suggest that the mean time to exhaustion is greater after chocolate milk than after carbohydrate replacement drink

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