Here are summary statistics for randomly selected weights of newborn girls: n = 174, x= 26.3 hg, s = 7.8 hg. Construct a confidence interval estimate of the mean. Use a 99% confidence level. Are these results very different from the confidence interval 23.7 hg < u< 28.7 hg with only 18 sample values, x= 26.2 hg, and s = 3.7 hg? What is the confidence interval for the population mean p? |hg

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Here are summary statistics for randomly selected weights of newborn girls: n= 174, x= 26.3 hg, s = 7.8 hg. Construct a confidence interval estimate of the mean. Use a 99% confidence
level. Are these results very different from the confidence interval 23.7 hg <u< 28.7 hg with only 18 sample values, x= 26.2 hg, and s = 3.7 hg?
What is the confidence interval for the population mean u?
hg <p<hg (Round to one decimal place as needed.)
Are the results between the two confidence intervals very different?
O A. Yes, because the confidence interval limits are not similar.
O B. No, because the confidence interval limits are similar.
O C. Yes, because one confidence interval does not contain the mean of the other confidence interval,
O D. No, because each confidence interval contains the mean of the other confidence interval.
Transcribed Image Text:Here are summary statistics for randomly selected weights of newborn girls: n= 174, x= 26.3 hg, s = 7.8 hg. Construct a confidence interval estimate of the mean. Use a 99% confidence level. Are these results very different from the confidence interval 23.7 hg <u< 28.7 hg with only 18 sample values, x= 26.2 hg, and s = 3.7 hg? What is the confidence interval for the population mean u? hg <p<hg (Round to one decimal place as needed.) Are the results between the two confidence intervals very different? O A. Yes, because the confidence interval limits are not similar. O B. No, because the confidence interval limits are similar. O C. Yes, because one confidence interval does not contain the mean of the other confidence interval, O D. No, because each confidence interval contains the mean of the other confidence interval.
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