A researcher at a medical college conducted a study of 60 randomly selected male soccer players and concluded that frequently "heading" the ball in soccer lowers players' IQs. The soccer players were divided into two groups, based on whether they averaged 10 or more headers per game. Mean IQs were reported in the article, but the sample sizes and standard deviations were not given. Suppose that these values were as given in the accompanying table. (Use a statistical computer package to calculate P.)
n | Sample Mean |
Sample sd |
|
Fewer Than 10 Headers | 35 | 116 | 10 |
10 or More Headers | 25 | 107 | 8 |
t | = | (Round the answer to two decimal places.) | |
df | = | ||
P | = | (Round the answer to five decimal places.) |
Does the sample data support the conclusion that the mean IQ of soccer players who frequently head the ball is lower than that of those who do not frequently head the ball? Test the relevant hypotheses using ? = .05.
Yes
No
Suppose,
Sample 1 =Fewer Than 10 Headers
Sample 2 = 10 or More Headers
We are given,
n1 = 35 , n2 = 25
= 116 , = 107
s1 = 10 , s2 = 8
Given claim is,
sample data support the conclusion that the mean IQ of soccer players who frequently head the ball is lower than that of those who do not frequently head the ball.
That is Mean (10 or More Headers) < mean (Fewer Than 10 Headers)
Done
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