A random sample of 863 births in a state included 429 boys. Construct a 95% confidence interval estimate of the proportion of boys in all births. It is believed that among all births, the proportion of boys is 0.514. Do these sample results provide strong evidence against that belief? Construct a 95% confidence interval estimate of the proportion of boys in all births. Do these sample results provide strong evidence against that belief? A. There is not strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is not contained within the 95% confidence interval. B. There is strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is not contained within the 95% confidence interval. C. There is strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is contained within the 95% confidence interval. D. There is not strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is contained within the 95% confidence interval.
A random sample of 863 births in a state included 429 boys. Construct a 95% confidence
Construct a 95% confidence interval estimate of the proportion of boys in all births.
Do these sample results provide strong evidence against that belief?
A.
There is not strong evidence against 0.514 as the value of the proportion of boys in all births because
0.514 is not contained within the 95% confidence interval.
B.
There is strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is not contained within the 95% confidence interval.
C.
There is strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is contained within the 95% confidence interval.
D.
There is not strong evidence against 0.514 as the value of the proportion of boys in all births because 0.514 is contained within the 95% confidence interval.
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