Which of the options below provides the best interpretation of a 95% confidence interval estimate of the population mean μ? There is a 95% probability that the population mean μ will lie between the lower confidence limit (LCL) and the upper confidence limit (UCL). We are 95% confident that 5% the values of the sample mean x will result in a confidence interval that includes the population mean μ. If we repeatedly draw samples of the same size from the same population, 95% of the values of the sample means will result in a confidence interval that includes the population mean μ. We are 95% confident that we have selected a sample whose range of values does not contain the population mean μ.
Which of the options below provides the best interpretation of a 95% confidence interval estimate of the population mean μ? There is a 95% probability that the population mean μ will lie between the lower confidence limit (LCL) and the upper confidence limit (UCL). We are 95% confident that 5% the values of the sample mean x will result in a confidence interval that includes the population mean μ. If we repeatedly draw samples of the same size from the same population, 95% of the values of the sample means will result in a confidence interval that includes the population mean μ. We are 95% confident that we have selected a sample whose range of values does not contain the population mean μ.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Which of the options below provides the best interpretation of a 95% confidence interval estimate of the
population mean μ?
There is a 95% probability that the population mean μ will lie between the lower confidence limit (LCL) and the
upper confidence limit (UCL).
We are 95% confident that 5% the values of the sample mean x will result in a confidence interval that includes the
population mean μ.
If we repeatedly draw samples of the same size from the same population, 95% of the values of the sample means
will result in a confidence interval that includes the population mean μ.
We are 95% confident that we have selected a sample whose range of values does not contain the population
mean μ.
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