In: Statistics and Probability
A researcher selects 100 subjects at random from a population, observes 50 successes, and calculates three confidence intervals. The confidence levels are 90%, 95%, and 99%, and the intervals are (0.402, 0.598), (0.371, 0.629), and (0.418, 0.582). Match each interval with its confidence level.
Solution :
Given that,
Point estimate = sample proportion = = x / n = 50 / 100 = 0.50
1 -
= 1 - 0.50 = 0.50
Z/2
= Z0.05 = 1.645
Margin of error = E = Z
/ 2 * ((
* (1 -
))
/ n)
= 1.645 (((0.50
* 0.50) / 100)
= 0.082
A 90% confidence interval for population proportion p is ,
± E
= 0.50 ± 0.082
= ( 0.418, 0.582 )
Z/2
= Z0.025 = 1.96
Margin of error = E = Z
/ 2 * ((
* (1 -
))
/ n)
= 1.96 (((0.50
* 0.50) / 100)
= 0.098
A 95% confidence interval for population proportion p is ,
± E
= 0.50 ± 0.098
= ( 0.402, 0.598 )
Z/2
= Z0.005 = 2.576
Margin of error = E = Z
/ 2 * ((
* (1 -
))
/ n)
= 2.576 (((0.50
* 0.50) / 100)
= 0.129
A 99% confidence interval for population proportion p is ,
± E
= 0.50 ± 0.129
= ( 0.371, 0.629 )