In: Statistics and Probability
A random sample of n = 500 observations from a binomial population produced x = 250 successes. Find a 90% confidence interval for p. (Round your answers to three decimal places.)
Interpret the interval:
A. In repeated sampling, 90% of all intervals constructed in this manner will enclose the population proportion.
B. 90% of all values will fall within the interval.
C. In repeated sampling, 10% of all intervals constructed in this manner will enclose the population proportion.
D. There is a 10% chance that an individual sample proportion will fall within the interval.
E. There is a 90% chance that an individual sample proportion will fall within the interval.
Solution :
Given that,
n = 500
x = 250
Point estimate = sample proportion =
= x / n = 0.5
1 -
= 0.5
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2
= Z 0.05 = 1.645
Margin of error = E = Z
/ 2 *
((
* (1 -
)) / n)
= 1.645 * (((0.5*0.5)
/ 500)
= 0.037
A 90% confidence interval for population proportion p is ,
- E < p <
+ E
0.5 - 0.037 < p < 0.5 + 0.037
0.463 < p < 0.537
The 90% confidence interval for the population proportion p is : ( 0.463 , 0.537 )
E)
There is a 90% chance that an individual sample proportion will fall within the interval.