Explore BrainMass
Share

Explore BrainMass

    Computing Confidence Intervals for Population Proportions

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    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 October 10, 2019, 6:30 am ad1c9bdddf
    https://brainmass.com/statistics/confidence-interval/computing-confidence-intervals-population-proportions-546811

    Attachments

    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.

    $2.19