In: Statistics and Probability
For this problem, carry at least four digits after the decimal
in your calculations. Answers may vary slightly due to
rounding.
Case studies showed that out of 10,358 convicts who escaped from
certain prisons, only 7582 were recaptured.
(a) Let p represent the proportion of all escaped
convicts who will eventually be recaptured. Find a point estimate
for p. (Round your answer to four decimal places.)
(b) Find a 99% confidence interval for p. (Round your
answers to three decimal places.)
lower limit | |
upper limit |
Give a brief statement of the meaning of the confidence
interval.
We are 99% confident that the true proportion of recaptured escaped convicts falls outside this interval.We are 1% confident that the true proportion of recaptured escaped convicts falls above this interval. We are 1% confident that the true proportion of recaptured escaped convicts falls within this interval.We are 99% confident that the true proportion of recaptured escaped convicts falls within this interval.
(c) Is use of the normal approximation to the binomial justified in
this problem? Explain.
No; np > 5 and nq < 5.No; np < 5 and nq > 5. Yes; np > 5 and nq > 5.Yes; np < 5 and nq < 5.
Solution :
Given that,
n = 10358
x = 7582
a) Point estimate = sample proportion = = x / n = 7582 / 10358 = 0.7320
1 - = 1 - 0.7320 = 0.2680
b) At 99% confidence level
= 1 - 99%
=1 - 0.99 =0.01
/2
= 0.05
Z/2
= Z0.005 = 2.576
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 2.576 (((0.7320 * 0.2680) / 10358)
= 0.0112
A 99% confidence interval for population proportion p is ,
± E
= 0.7320 ± 0.0112
= ( 0.721, 0.743 )
lower limit = 0.721
upper limit = 0.743
We are 99% confident that true proportion of recaptured escaped convicts falls within this interval.
c) Yes; np > 5 and nq > 5