Final answer:
To construct a 95% confidence interval estimate of the proportion of boys in all births, we can use the formula: p' ± Z * sqrt((p' * (1 - p')) / n). In this case, the sample proportion of boys is 398/860 = 0.4628. The Z-score for a 95% confidence level is approximately 1.96. Plugging in these values, we get the confidence interval (0.4297, 0.496).
Step-by-step explanation:
To construct a 95% confidence interval estimate of the proportion of boys in all births, we can use the formula:
p' ± Z * sqrt((p' * (1 - p')) / n)
Where:
- p' is the sample proportion
- Z is the Z-score corresponding to the desired confidence level
- n is the sample size
In this case, the sample proportion of boys is 398/860 = 0.4628. The Z-score for a 95% confidence level is approximately 1.96. Plugging in these values, we get:
0.4628 ± 1.96 * sqrt((0.4628 * (1 - 0.4628)) / 860)
Calculating this expression gives us the confidence interval (0.4297, 0.496)