Suppose we need to estimate p, the proportion of Canadians willing to receive a COVID-19 vaccine. By taking a random sample of size n=100 we obtain a sample proportion p and we use this to determining the 95% confidence interval, (0.75,0.82). What is the correct interpretation? For 95% of all samples of size n=100, p lies in the interval (0.75, 0.82). For 95% of all samples of size n= 100, P lies in the interval (0.75, 0.82). For 95% of all samples of size n= 100, p lies in the resulting confidence interval. For 95% of all samples of size n= 100, i lies in the resulting confidence interval.
Suppose we need to estimate p, the proportion of Canadians willing to receive a COVID-19 vaccine. By taking a random sample of size n=100 we obtain a sample proportion p and we use this to determining the 95% confidence interval, (0.75,0.82). What is the correct interpretation? For 95% of all samples of size n=100, p lies in the interval (0.75, 0.82). For 95% of all samples of size n= 100, P lies in the interval (0.75, 0.82). For 95% of all samples of size n= 100, p lies in the resulting confidence interval. For 95% of all samples of size n= 100, i lies in the resulting 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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Transcribed Image Text:Suppose we need to estimate p, the proportion of Canadians willing to receive a COVID-19 vaccine. By taking a random sample of size
n=100 we obtain a sample proportion p and we use this to determining the 95% confidence interval, (0.75,0.82). What is the
correct interpretation?
For 95% of all samples of size n=100, p lies in the interval (0.75, 0.82).
For 95% of all samples of size n= 100, P lies in the interval (0.75, 0.82).
For 95% of all samples of size n= 100, p lies in the resulting confidence interval.
For 95% of all samples of size n= 100, i lies in the resulting confidence interval.
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given ,
95% confidence interval ,(0.75 , 0.82 )
and sample size n=100
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