Which of the following is a correct interpretation of a 90% confidence interval?
A)90% of the random samples you could select would result in intervals that contain the true population value.
B)90% of the population values should be close to our sample results.
C)Once a specific sample has been selected, the probability that its resulting confidence interval contains the true population value is 90%.
D)All of the above statements are true.

Question

Quizplus · Accepted Answer

A 90% confidence interval means that if we were to take many random samples and compute a confidence interval for each, approximately 90% of these intervals would contain the true population parameter. Choices B and C misinterpret the concept of confidence intervals.

Which of the Following Is a Correct Interpretation of a 90