Answer: (0.8468, 0.8764)
Step-by-step explanation:
Formula to find the confidence interval for population proportion is given by :-
![\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}](https://tex.z-dn.net/?f=%5Chat%7Bp%7D%5Cpm%20z%5E%2A%5Csqrt%7B%5Cdfrac%7B%5Chat%7Bp%7D%281-%5Chat%7Bp%7D%29%7D%7Bn%7D%7D)
, where
= sample proportion.
z* = Critical value
n= Sample size.
Let p be the true proportion of GSU Juniors who believe that they will, immediately, be employed after graduation.
Given : Sample size = 3597
Number of students believe that they will find a job immediately after graduation= 3099
Then, ![\hat{p}=\dfrac{3099}{3597}\approx0.8616](https://tex.z-dn.net/?f=%5Chat%7Bp%7D%3D%5Cdfrac%7B3099%7D%7B3597%7D%5Capprox0.8616)
We know that , Critical value for 99% confidence interval = z*=2.576 (By z-table)
The 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation will be
![0.8616\pm(2.576)\sqrt{\dfrac{0.8616(1-0.8616)}{3597}}](https://tex.z-dn.net/?f=0.8616%5Cpm%282.576%29%5Csqrt%7B%5Cdfrac%7B0.8616%281-0.8616%29%7D%7B3597%7D%7D)
![0.8616\pm (2.576)\sqrt{0.0000331513594662}](https://tex.z-dn.net/?f=0.8616%5Cpm%20%282.576%29%5Csqrt%7B0.0000331513594662%7D)
Hence, the 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation. = (0.8468, 0.8764)