A drug is used to help prevent blood clots in certain patients. In clinical trials, among 4840 patients treated with the drug, 146 developed the adverse reaction of nausea. Construct a 99% confidence interval for the proportion of adverse reactions. a) Find the best point estimate of the population proportion p. ____ (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E=____ (Round to three decimal places as needed.) c) Construct the confidence interval. ____
A drug is used to help prevent blood clots in certain patients. In clinical trials, among 4840 patients treated with the drug, 146 developed the adverse reaction of nausea. Construct a 99% confidence interval for the proportion of adverse reactions. a) Find the best point estimate of the population proportion p. ____ (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E=____ (Round to three decimal places as needed.) c) Construct the confidence interval. ____
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Use the sample data and confidence level given below to complete parts (a) through (d).
A drug is used to help prevent blood clots in certain patients. In clinical trials, among 4840 patients treated with the drug, 146 developed the adverse reaction of nausea. Construct a 99% confidence interval for the proportion of adverse reactions.
a) Find the best point estimate of the population proportion p.
____
(Round to three decimal places as needed.)
b) Identify the value of the margin of error E.
E=____
(Round to three decimal places as needed.)
c) Construct the confidence interval.
____<p<____
(Round to three decimal places as needed.)
d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.
A. There is a 99% chance that the true value of the population proportion will fall between the lower bound and the upper bound.
B. One has 99% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.
C. One has 99% confidence that the sample proportion is equal to the population proportion.
D. 99% of sample proportions will fall between the lower bound and the upper bound.
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