Question

Please criticize the following statement regarding the interpretation of a confidence interval: Results for a 95% Confidence Interval for estimating the population mean: 74.1< Mean< 83.1 " After looking at the above results we can conclude that there is a 95% chance that the confidence interval contains the true mean of the population" Is the above statement correct? Why? If it is not correct how can we re-state the conclusion in order to interpret correctly the above confidence interval? I recommend reading from your book or you can also search in the Internet for some help regarding the correct interpretation of a confidence interval.

Answer 1

Answer: The statement is correct .

Step-by-step explanation: When constructing a confidence interval (95%) for this question, the interval we get as our answer simply implies that we are 95% sure that our population mean is within the interval value that we just calculated