In: Statistics and Probability
The mean height of 50 male students who showed
above-average participation in college
athletics was 68.2 inches with a standard deviation of 2.5 inches,
while 50 male students
who showed no interest in such participation had a mean height of
67.5 inches with a
standard deviation of 2.8 inches.
(a) Test the hypothesis that male students who participate in
college athletics are taller
than other male students.
(b) What is the P value of the test?
We have given that→
##)The mean height of 50 male students who showed above-average participation in college athletics was 68.2 inches with a standard deviation of 2.5 inches
This imply that
Sample size (n1)=50
Sample mean (x1bar)=68.2
Standard deviation (s1)=2.5
##)
50 male students
who showed no interest in such participation had a mean height of
67.5 inches with a standard deviation of 2.8 inches.
This means→
n2=50
S2=2.8
X2bar=67.5
Setting up hypothesis:
Ho: u1=u2
H1:u1>u2
Test statistic:
Z= (x1bar-x2bar)/√(s1²/n1+s2²/n2)
Z=(68.2-67.5)/√(2.5²/50+2.8²/50)
=1.3186439≈1.3186(ans)
Pvalue= prob(z>1.3186)
=1 - Prob(z<1.3186)=1-0.9036
=0.0964
≈0.0964(ans)
Now, since p value is greater than the level of significance 0.05
We fail to Reject Null hypothesis.
Conclusion:
We have insufficient evidence to claim that male students who
participate in college athletics are taller
than other male students.
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