A drug is used to help prevent blood clots in certain patients. In clinical​ trials, among 45514551 patients treated with the​ drug, 149149 developed the adverse reaction of nausea. Construct a 9090​% confidence interval for the proportion of adverse reactions. ​a) Find the best point estimate of the population proportion p. ​b) Identify the value of the margin of error E ​c) Construct the confidence interval. d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.     A. There is a 9090​% chance that the true value of the population proportion will fall between the lower bound and the upper bound.   B. One has 9090​% 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 9090​% confidence that the sample proportion is equal to the population proportion.   D. 9090​% of sample proportions will fall between the lower bound and the upper bound.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
45514551
patients treated with the​ drug,
149149
developed the adverse reaction of nausea. Construct a
9090​%
confidence interval for the proportion of adverse reactions.
​a) Find the best point estimate of the population proportion p.
​b) Identify the value of the margin of error E
​c) Construct the confidence interval.
d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.
 
 
A.
There is a
9090​%
chance that the true value of the population proportion will fall between the lower bound and the upper bound.
 
B.
One has
9090​%
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
9090​%
confidence that the sample proportion is equal to the population proportion.
 
D.
9090​%
of sample proportions will fall between the lower bound and the upper bound.
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