In: Statistics and Probability
Suppose that a market research firm is hired to estimate the percent of adults living in a large city who have cell phones. 500 randomly selected adult residents in this city are surveyed, 481 responded yes, they own cell phones. Find a 92% confidence interval for the true proportion of adults residents in this city who have a cell phone. Then give a complete confidence statement. Round only the last calculation (both endpoints of the interval) to two decimal places
Solution :
Given,
n = 500 ....... Sample size
x = 481 .......no. of successes in the sample
Let
denotes the sample proportion.
= x/n = 481 / 500 = 0.96
Our aim is to construct 92% confidence interval.
c = 0.92
= 1 - c = 1- 0.92 = 0.08
/2
= 0.04 and 1-
/2 = 0.96
Search the probability 0.995 in the Z table and see corresponding z value
= 1.751
Now , the margin of error is given by
E =
/2
*
= 1.751 *
[ 0.96 *(1 - 0.96)/500 ]
= 0.015
Now the confidence interval is given by
(
- E)
(
+ E)
( 0.96 - 0.015 )
( 0.96 + 0.015 )
0.95
0.98
Required 92% Confidence Interval is ( 0.95 , 0.98 )