Athletic trainers have developed a new training protocol for elite athletes. A random sample of 28 elite athletes are chosen, and the time it takes them to run a mile is recorded. After training under the new protocol, the mile time is again recorded to determine if the new training protocol is effective. Researchers defined the differences as mile times after the new training protocol minus mile times before the training protocol. A 90% confidence interval for the true mean difference was calculated. Which of the following explanations describes the correct way to interpret the 90% confidence interval for the true mean difference of mile times? Group of answer choices 90% of all of the mean differences in mile times are in our confidence interval. We are 90% confident that the sample mean difference in mile times is somewhere in our confidence interval. We are 90% confident that the true mean difference in mile times is somewhere in our confidence interval. 90% of the mean differences in mile times in our sample are in our confidence interval. There is a 90% chance that the true mean difference in mile times is in our confidence interval