In this lesson, we are going to talk about sampling from a normal distribution, which is really starting to get into statistics. Sometimes it is still considered as a topic in probability. We are going to go ahead and talk about it. We are not using the Central Limit Theorem - if you are looking for Central Limit Theorem, just skip ahead and look for that video. The theorem that we are going to be using here is, the assumption we already made is that each of one of the variables Yi has a normal distribution with mean ν and variance σ².
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.