A 90% Confidence Interval Estimate of the Population Mean

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 meanswill result in a confidence interval that includes the population mean.
B) there is a 90% probability that the population meanwill 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 meanswill result in a confidence interval that includes the population mean.
E) 90% of the values of the sample meansare equal to the population mean.