A random sample of 863 births in New York State included 423 males. Construct a 95% confidence interval estimate of the proportion of males in all births. It is believed that among all births, the proportion of males is 0.506. Do these sample results provide strong evidence against that belief? Construct a 95% confidence interval estimate of the proportion of boys in all births. |
A random sample of 863 births in New York State included 423 males. Construct a 95% confidence interval estimate of the proportion of males in all births. It is believed that among all births, the proportion of males is 0.506. Do these sample results provide strong evidence against that belief? Construct a 95% confidence interval estimate of the proportion of boys in all births. |
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Question
Transcribed Image Text:A random sample of 863 births in New York State included 423 males. Construct a 95% confidence interval estimate of
the proportion of males in all births. It is believed that among all births, the proportion of males is 0.506. Do these
sample results provide strong evidence against that belief?
Transcribed Image Text:Construct a 95% confidence interval estimate of the proportion of boys in all births.
|<p<☐ (Round to three decimal places as needed.)
Do these sample results provide strong evidence against that belief?
A. There is strong evidence against 0.513 as the value of the proportion of boys in all births because 0.513 is not contained within the 95% confidence interval.
B. There is strong evidence against 0.513 as the value of the proportion of boys in all births because 0.513 is contained within the 95% confidence interval.
C. There is not strong evidence against 0.513 as the value of the proportion of boys in all births because 0.513 is not contained within the 95% confidence interval.
D. There is not strong evidence against 0.513 as the value of the proportion of boys in all births because 0.513 is contained within the 95% confidence interval.
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