5) In a 95% Confidence Interval, the true mean has what chance of falling between the Lower Limit and Upper Limits of the calculated confidence interval?

A. .90
B. 95%
C. .05
D. 5%

To determine the chance or probability that the true mean falls between the Lower Limit and Upper Limit of a 95% Confidence Interval, we need to understand what a 95% Confidence Interval means.

A 95% Confidence Interval is a range of values constructed using statistical techniques that is likely to contain the true population parameter (in this case, the population mean). The 95% confidence level means that if we were to take repeated samples from the population and construct a confidence interval for each sample, about 95% of those intervals would contain the true population mean.

Therefore, the answer to the question is:

B. 95%

In a 95% Confidence Interval, there is a 95% chance or probability that the true mean falls between the Lower Limit and Upper Limit of the calculated confidence interval.