To construct a 95% confidence interval for the true population proportion of adults with children, we can use the following formula:
p ± z*(sqrt(p*(1-p)/n))
where:
- p is the sample proportion (396/440 = 0.9)
- z is the z-score corresponding to the desired confidence level (95% confidence level corresponds to a z-score of 1.96)
- n is the sample size (440)
Plugging in the values, we get:
0.9 ± 1.96*(sqrt(0.9*(1-0.9)/440))
Simplifying this expression, we get:
0.868 < p < 0.932
Therefore, we can conclude that we are 95% confident that the true population proportion of adults with children is between 0.868 and 0.932.