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. |
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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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