According to a reputable magazine,
34%
of people in a certain large country have sleepwalked at least once in their lives. Suppose a random sample of
200
people showed that
44
reported sleepwalking. The null and alternative hypotheses for a test that would test whether the proportion of people who have sleepwalked is
0.34
are
H0:p=0.34
and
Ha: p≠0.34
respectively. The conditions for such a test are satisfied. Use the technology output provided to determine the test statistic and p-value for the test, and provide a conclusion. Use a significance level of 0.05
Hypothesis test results:
p : Proportion of successes
Upper H 0H0:
pequals=0.340.34
Upper H Subscript Upper AHA:
pnot equals≠0.340.34
Proportion |
Count |
Total |
Sample Prop. |
Std. Err. |
Z-Stat |
P-value |
p |
44 |
200 |
0.22 |
0.03349627 |
3.5824886 |
0.0003 |
Determine the test statistic.
z=_____
(Round to two decimal places as needed.)
Determine the p-value.
p-value=____
(Round to three decimal places as needed.)
What is the conclusion to this test?
▼
Upper H 0H0.
There
▼
is not
is
sufficient evidence to conclude that the proportion of people who have sleepwalked
▼
is less than
is not
is greater than
is
0.34
H0: p = 0.34
Ha: p 0.34
Sample proportion = 44 / 200 = 0.22
Test staistics
z = ( - p) / sqrt [ p ( 1- p) / n ]
= (0.22 - 0.34) / sqrt [ 0.34 ( 1 - 0.34) / 200 ]
= -3.58
For two tailed test,
p-value = 2 * P(Z < z)
= 2 * P(Z < -3.58)
= 2 * 0.0002
= 0.000
conclusion -
Reject H0 , There is sufficient evidence to conclude that the proportion of people who have sleepwalked
is not 0.34
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