According to the National Institute on Alcohol Abuse and
Alcoholism (NIAAA), and the National Institutes of Health (NIH),
41% of college students nationwide engage in “binge drinking”
behavior, having 5 or more drinks in one occasion during the past
two weeks. A college president wonders if the proportion of
students enrolled at her college that binge drink is actually lower
than the national proportion. In a commissioned study, 348 students
are selected randomly from a list of all students
enrolled at the college. Of these, 132 admitted to having engaged
in binge drinking.
The college president is more interested in testing her
suspicion that the proportion of students at her college that binge
drink is lower than the national proportion of .41. Her staff tests
the hypotheses
H0: p = 0.41, Ha: p < 0.41.
The P-value is
Solution :
This is the left tailed test .
The null and alternative hypothesis is
H0 : p = 0.41
Ha : p < 0.41
x = 132
n = 348
= x / n = 132 / 348 = 0.38
P0 = 0.41
1 - P0 = 1 - 041 = 0.59
Test statistic = z =
= - P0 / [P0 * (1 - P0 ) / n]
=0.38 - 0.41 / [(0.41 * 0.59) /348 ]
Test statistic = z = -1.14
P(z < -1.14)
P-value = 0.1271
= 0.05
P-value <
Reject the null hypothesis
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