WILLIAMS W. answered 11/02/23
Experienced tutor passionate about fostering success.
Hi Salma,
To construct a 90% confidence interval for a population proportion (p), you can use the formula for the confidence interval:
Confidence Interval = p̂ ± Z * √(p̂ * (1 - p̂) / n)
Where:
- p̂ (p-hat) is the sample proportion.
- Z is the critical value for a 90% confidence level.
- n is the sample size.
Given:
- Sample proportion (p̂) = 0.78
- Sample size (n) = 530
To find the critical value Z for a 90% confidence level, you can refer to a standard normal distribution table or use a calculator. For a 90% confidence level, Z is approximately 1.645.
Now, calculate the confidence interval:
Confidence Interval = 0.78 ± 1.645 * √(0.78 * (1 - 0.78) / 530)
Confidence Interval = 0.78 ± 1.645 * √(0.78 * 0.22 / 530)
Confidence Interval = 0.78 ± 1.645 * √(0.1644 / 530)
Confidence Interval = 0.78 ± 1.645 * √(0.00031057)
Confidence Interval = 0.78 ± 1.645 * 0.017625
Now, calculate the upper and lower bounds of the confidence interval:
Lower Bound = 0.78 - 1.645 * 0.017625 ≈ 0.78 - 0.029011 ≈ 0.750989
Upper Bound = 0.78 + 1.645 * 0.017625 ≈ 0.78 + 0.029011 ≈ 0.809011
So, the 90% confidence interval for the population proportion (p) is approximately 0.751 to 0.809 when rounded to three decimal places.
I hope this will help. I am happy to tutor you on any other questions you may have; please feel free to send me a message!