A 99% Confidence Interval Estimate of the Population Mean $\mu$ Can Be Interpreted to Mean:
A) If All Possible Sample

A 99% confidence interval estimate of the population mean $\mu$ can be interpreted to mean:

A) if all possible sample are taken and confidence intervals created,99% of them would include the true population mean somewhere within their interval.
B) we have 99% confidence that we have selected a sample whose interval does include the population mean.
C) we estimate that the population mean falls between the lower and upper confidence limits,and this type of estimator is correct 99% of the time.
D) All of these choices are true.