Hiya folks, and welcome to one of our final podcast episodes before the Midterm Exam! In this episode, we are going to focus on 3 key points: (1) language that we use when describing samples versus populations (estimates and parameters); (2) a discussion and review of the basics of probability; and (3) connecting probability and the normal curve. There's a lot of conceptual leaps at times with these topics... so take your time with this one. And focus on concepts--thinking of the normal curve as covering 100% of our outcomes (aka linking probability with the normal curve) and then the ways that the Central Limit Theorem and Law of Large Numbers help us connect our samples back to our population. Let me know what questions you have as you make your way through this episode!