Solution:
Given:
n = sample size = Number of adults surveyed between 30 and 64 years of age = 1034
x = Number of adults worried that they will outlive their money after they retire = 548
We have to test if their is sample evidence to suggest that a majority of 30-to 64-years-old's in the United Status are worried they will outlive their money.
Level of significance =
Part a)
Regarding population proportion, following condition must me provided:
and
where p = population proportion = 0.5
and
Thus both the conditions are satisfied.
Thus sampling distribution of sample proportions is approximately Normal with mean of sample proportions is:
and standard deviation of sample proportions is:
Part b)
Null hypothesis is : p = 0.5
Thus alternative hypothesis is: p > 0.5, since we have to test majority of 30-to 64-years-old's in the United Status are worried they will outlive their money, that is: we have to test population proportion is more than 0.5.
Thus
H0: p= 0.5 Vs H1: p > 0.5
Part c) Critical value approach:
We need to find z test statistic value and z critical value.
z test statistic value:
where
thus
and
z critical value:
Since this is right tailed test, find area = 1 - 0.05 = 0.95
Look in z table for Area = 0.9500 or its closest area and find corresponding z value.
Area 0.9500 is in between 0.9495 and 0.9505 and both the area are at same distance from 0.9500
Thus we look for both area and find both z values
Thus Area 0.9495 corresponds to 1.64 and 0.9505 corresponds to 1.65
Thus average of both z values is : ( 1.64+1.65) / 2 = 1.645
Thus Zcritical = 1.645
Part d) Show the P-value approach:
P-value = P( Z > z test statistic )
P-value = P( Z > 1.93 )
P-value = 1 - P( Z < 1.93 )
Look in z table for z = 1.9 and 0.03 and find corresponding area.
P( Z < 1.93 ) = 0.9732
Thus
P-value = 1 - P( Z < 1.93 )
P-value = 1 - 0.9732
P-value = 0.0268
Part e) Decision and Conclusion:
Decision using Critical value:
Since this is right tailed test, rejection region would be:
Reject null hypothesis ,if z test statistic value > z critical value = 1.645 , otherwise we fail to reject H0.
Since z test statistic value = 1.93 > z critical value = 1.645 , we reject null hypothesis.
Decision using P-value:
Reject H0, if P-value < 0.05 level of significance, otherwise we fail to reject H0.
Since P-value = 0.0268 < 0.05 level of significance, we reject null hypothesis.
Conclusion:
Since we have rejected null hypothesis, we have enough evidence to suggest that a majority of 30-to 64-years-old's in the United Status are worried they will outlive their money.
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