Answer: (0.5496, 0.5754)
Step-by-step explanation:
The confidence interval for population proportion (p) is given by :-
, where
= Sample proportion , n= sample size , z*= Critical z-value.
Let p be the proportion of all college students who are in favor of banning Hawaiian shirt.
Given, A random sample of 4000 college students yielded 2250 who are in favor of banning Hawaiian shirts.
i.e. n=4000
![\hat{p}=\dfrac{2250}{4000}=0.5625](https://tex.z-dn.net/?f=%5Chat%7Bp%7D%3D%5Cdfrac%7B2250%7D%7B4000%7D%3D0.5625)
z-value for 90% confidence level is 1.645
Now , 90% confidence interval for p would be :
![0.5625\pm (1.645)(\sqrt{\dfrac{0.5625(1-0.5625)}{4000}})](https://tex.z-dn.net/?f=0.5625%5Cpm%20%281.645%29%28%5Csqrt%7B%5Cdfrac%7B0.5625%281-0.5625%29%7D%7B4000%7D%7D%29)
![=0.5625\pm (1.645)(\sqrt{0.0000615234375})\\\\=0.5625\pm (1.645)(0.00784368774876)\\\\\approx0.5625\pm0.0129\\\\=(0.5625-0.0129, \ 0.5625+0.0129)\\\\=(0.5496,\ 0.5754)](https://tex.z-dn.net/?f=%3D0.5625%5Cpm%20%281.645%29%28%5Csqrt%7B0.0000615234375%7D%29%5C%5C%5C%5C%3D0.5625%5Cpm%20%281.645%29%280.00784368774876%29%5C%5C%5C%5C%5Capprox0.5625%5Cpm0.0129%5C%5C%5C%5C%3D%280.5625-0.0129%2C%20%5C%200.5625%2B0.0129%29%5C%5C%5C%5C%3D%280.5496%2C%5C%200.5754%29)
Hence, the required 90% interval = (0.5496, 0.5754)