Here are summary statistics for randomly selected weights of newborn girls: n= 159, x = 32.4 hg, s= 6.9 hg. Construct a confidence interval estimate of the mean. Use a 95% confidence level. Are these results very different from the confidence interval 31.0 hg <μ<33.4 hg with only 19 sample values, x= 32.2 hg, and s=2.5 hg? What is the confidence interval for the population mean µ? |hg<μ

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
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Here are summary statistics for randomly selected weights of newborn girls: n=159, x= 32.4 hg, s= 6.9 hg. Construct a confidence interval
estimate of the mean. Use a 95% confidence level. Are these results very different from the confidence interval 31.0 hg<μ<33.4 hg with
only 19 sample values, x= 32.2 hg, and s=2.5 hg?
What is the confidence interval for the population mean u?
hg<μ<hg (Round to one decimal place as needed.)
Are the results between the two confidence intervals very different?
A. No, because each confidence interval contains the mean of the other confidence interval.
B. Yes, because the confidence interval limits are not similar.
C. No, because the confidence interval limits are similar.
O D. Yes, because one confidence interval does not contain the mean of the other confidence interval.
Transcribed Image Text:Here are summary statistics for randomly selected weights of newborn girls: n=159, x= 32.4 hg, s= 6.9 hg. Construct a confidence interval estimate of the mean. Use a 95% confidence level. Are these results very different from the confidence interval 31.0 hg<μ<33.4 hg with only 19 sample values, x= 32.2 hg, and s=2.5 hg? What is the confidence interval for the population mean u? hg<μ<hg (Round to one decimal place as needed.) Are the results between the two confidence intervals very different? A. No, because each confidence interval contains the mean of the other confidence interval. B. Yes, because the confidence interval limits are not similar. C. No, because the confidence interval limits are similar. O D. Yes, because one confidence interval does not contain the mean of the other confidence interval.
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