Write a reply as if I'm a student replying "ent properly interpreted the 95% confidence interval. From what I understand, the second student is correct that the population parameter is a fixed value. The population parameter is essentially a number that describes something about the entire population such as an average, proportion, or standard deviation. The second student is correct that it is usually unknown because we cannot measure the whole population in most instances. Additionally, the second student correctly identified that it is the confidence interval which has 95% chance of surrounding the unknown population parameter, not the population parameter having a 95% chance of falling inside the confidence interval. A confidence interval is based on sample data and basically means that if we repeated the sampling process multiple times and built a confidence interval each time, about 95% of those intervals would contain the true population parameter