Final answer:
To find a 95% confidence interval for the difference in the two proportions, Pm-Pw, we can use the formula: CI = (Pm - Pw) ± Z * sqrt((Pm * (1 - Pm)) / nm + (Pw * (1 - Pw)) / nw). Plugging in the values, the 95% confidence interval for the difference in proportions is (-0.293, -0.131).
Step-by-step explanation:
To find a 95% confidence interval for the difference in the two proportions, Pm-Pw, we can use the formula:
CI = (Pm - Pw) ± Z * sqrt((Pm * (1 - Pm)) / nm + (Pw * (1 - Pw)) / nw)
Where:
Pm = proportion of men who support the proposed law
Pw = proportion of women who support the proposed law
Z = Z-score corresponding to the desired confidence level (in this case, 95%)
nm = sample size of men
nw = sample size of women
Using the given information:
Pm = 318/520 ≈ 0.612
Pw = 379/460 ≈ 0.824
nm = 520
nw = 460
Using a Z-score table or calculator, we find that the Z-score for a 95% confidence level is approximately 1.96.
Plugging in the values:
CI = (0.612 - 0.824) ± 1.96 * sqrt((0.612 * (1 - 0.612)) / 520 + (0.824 * (1 - 0.824)) / 460)
Simplifying the expression:
CI = -0.212 ± 1.96 * sqrt(0.000944 + 0.000764)
CI = -0.212 ± 1.96 * sqrt(0.001708)
CI = -0.212 ± 1.96 * 0.041324
CI = -0.212 ± 0.081
CI = (-0.293, -0.131)
Therefore, the 95% confidence interval for the difference in proportions, Pm-Pw, is (-0.293, -0.131).