Final answer:
To find the 95% confidence interval for the difference between two population proportions, calculate the sample proportions, determine the standard error of the difference, and then use the Z-score to find the margin of error. Add and subtract this from the difference in sample proportions.
Step-by-step explanation:
To find a 95% confidence interval for the difference between two population proportions, we use the formula:
CI = (p1 - p2) ± Z* √[(p1(1-p1)/n1) + (p2(1-p2)/n2)]
Where p1 and p2 are the sample proportions, n1 and n2 are the sample sizes, and Z* is the Z-score corresponding to the desired confidence level.
For this situation:
- p1 = 117/230
- p2 = 178/270
- n1 = 230
- n2 = 270
- Z* for 95% confidence is approximately 1.96
We calculate the confidence interval step by step:
- Compute the sample proportions: p1 = 117/230 and p2 = 178/270.
- Insert these values and the sample sizes into the formula.
- Calculate the standard error of the difference in proportions.
- Multiply this by the Z-score for the desired confidence level.
- Add and subtract this value from the difference in sample proportions to obtain the confidence interval.
After performing these calculations, we will have the confidence interval for the difference between the two population proportions.