Use the following information to answer the questions below:
Recently, the National Center for Education Statistics reported a study of a random sample of 1990 public school teachers whose first year teaching was in 2007-2008. The study found that 5 years later (in 2013) 17% of the teachers had left the profession. However, amongst the 1580 teachers who were assigned a mentor in their first year of teaching 14% had left the profession compared with 29% of the 410 teachers who did not have a mentor in their first year.
If the standard error of the difference between the proportions is 2.5% (0.025), what would be the 95% confidence interval for the difference between the proportions of mentored and un-mentored teachers who left the profession before 2013:
Group of answer choices
15% ± 1.3%
15% ± 2.5%
15% ± 8.3%
15% ± 5.0%
We have
p1^ = 0.29 and p2^ = 0.14
S.E( p1^ - p2^) = 0.025
The 95% confidence interval for difference in population proportions is
(p1^ - p2^) - E < p1 - p2< (p1^ - p2^) + E
Where E = Za/2* S.E( p1^ - p2^)
For a = 0.05 , Za/2 = Z0.025 = 1.96
E = 1.96*0.025 = 0.05
(0.29 - 0.14) - 0.05 < p1 - p2 < (0.29 - 0.14) + 0.05
0.15 - 0.05 < p1 - p2 < 0.15 + 0.05
The 95% confidence interval for difference in population proportions is
15% +/- 5%
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