RMP Exam 2 2023 with 100% correct answers

sampling distribution - correct answer -how likely it is to have picked such sample by comparing sample mean against known population Mu sampling distribution - correct answer -a distribution of all possible sample means for a given sample size, n central limit theorem - correct answer -as sample size increases, the distribution of sample means becomes more and more normal With small sample size cant be sure whats happening with sampling distribution but as our sample size gets larger, distribution gets more normal What does central Limit theorem do? - correct answer -1. gives us confidence in saying that i know for a given sample size, the sampling distribution is going to be normal and i don't need to take all possible random samples 2. No matter what the parent distribution looks like the distribution of the sample means is going to be normal Standard error of the mean - correct answer -the standard deviation of a sampling distribution what would happen to standard error if n increased - correct answer -gets smaller as our sample gets bigger, we can be more confident that our sample mean is going to be closely aprrox. the pop Mu what does is mean if M and μ are different - correct answer -1. possble that the sample of individuals happen to have higher values on that variable than general pop 2. perhaps the indivduals from pop arent from the intended populat al all, they are actually a diff population of individuals and thats why we observed a diff mean hypothesis testing - correct answer -uses sample data to evaluate claims made about population when do we