Computing Confidence Intervals for Population Proportions
Question 3
Calculate a 95% Confidence Interval (CI) for the true population proportion with successful treatment. Hint: The SE of p is the square root of (pq)/n. (40 pts)
Upper limit CI = _____ (20 pts)
Lower Limit CI = _____ (20 pts)
Question 4
Which of the following is true with regard to the confidence interval computed in Question 3 above: (25 pts)
a. 95 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be between the upper and lower limits of the confidence interval computed in Question 2.
b. 95 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be outside the upper and lower limits of the confidence interval computed in Question 2.
c. 5 times out of 100 one would expect a the sample of 399 taken from the same population to have a proportion of successfully treated patients to be outside the upper and lower limits of the confidence interval computed in Question 2.
d. a and c.
(See attachment for data)
© BrainMass Inc. brainmass.com December 15, 2020, 10:27 pm ad1c9bdddfhttps://brainmass.com/statistics/confidence-interval/computing-confidence-intervals-population-proportions-546811
Solution Preview
Question 3: since estimated p is 275/399=0.689, standard error of estimated p is ...
Solution Summary
The solution gives detailed steps on computing confidence intervals for population proportions . All formula and calculations are shown and explained. An interpretation is also given.