In: Statistics and Probability
In one school district, there are 89 elementary school (K-5) teachers, of which 18 are male (or male-identifying). In a neighboring school district, there are 102 elementary teachers, of which 17 are male. A policy researcher would like to calculate the 99% confidence interval for the difference in proportions of male teachers.
To keep the signs consistent for this problem, we will calculate all differences as p1−p2. That is, start with the percentage from the first school district and then subtract the percentage from the second district. Failing to do so may end up with “correct” answers being marked as wrong.
Point estimate for the percentage males in the first district:
Point estimate for the percentage males in the second district:
Point estimate for the difference in percentages between the two districts:
Estimate of the standard error for this sampling distribution (distribution of differences):
Critical value for the 99% confidence level:
99% margin of error:
99% confidence interval: