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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 23PFA
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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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