A 90% Confidence Interval Estimate of the Population Mean $$\bar { x }$$

Multiple Choice

A 90% confidence interval estimate of the population mean ? 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 ?.
B) there is a 90% probability that the population mean ? 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 ?.
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 ?.