A 90% Confidence Interval Estimate of the Population Mean $\mu$ Can Be Interpreted to Mean That:
A) If We Repeatedly

A 90% confidence interval estimate of the population mean $\mu$ can be interpreted to mean that:

A) if we repeatedly draw samples of the same size from the same population, 90% of the values of the sample means $\bar { x }$ will result in a confidence interval that includes the population mean $\mu$ .
B) there is a 90% probability that the population mean $\mu$ will lie between the lower confidence limit (LCL) and the upper confidence limit (UCL) .
C) we are 90% confident that we have selected a sample whose range of values does not contain the population mean $\mu$ .
D) We are 90% confident that 10% the values of the sample means $\bar { x }$ will result in a confidence interval that includes the population mean $\mu$ .