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