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 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 will result in a confidence interval that includes the population mean.