
Siddhant K. answered 06/29/23
Student Teacher! Patient and Thorough
To construct a 90% confidence interval for the population proportion, we can use the formula:
Confidence Interval = p̂ ± Z * √[(p̂(1 - p̂)) / n]
Where:
p̂ is the sample proportion (x/n),
Z is the Z-value corresponding to the desired confidence level (90% confidence level corresponds to a Z-value of approximately 1.645),
n is the sample size.
Given x = 120 and n = 200, we can calculate p̂:
p̂ = x/n = 120/200 = 0.6
Now, substituting the values into the formula:
Confidence Interval = 0.6 ± 1.645 * √[(0.6(1 - 0.6)) / 200]
Calculating the value inside the square root:
(0.6(1 - 0.6)) / 200 = 0.24 / 200 = 0.0012
Calculating the square root:
√(0.0012) ≈ 0.0346
Calculating the confidence interval:
Confidence Interval = 0.6 ± 1.645 * 0.0346
Confidence Interval ≈ 0.6 ± 0.0569
Thus, the 90% confidence interval for the population proportion is approximately 0.5431 to 0.6569.