In this lesson, we are going to be talking about introducing the concept of sampling distributions. Previously, we have been talking about probability distributions and that is what we call distributions of probabilities from discrete outcomes. Now, we are going on to sampling distributions and that is what we call distributions of outcomes that are continuous. First we will talk about the difference between probability and sampling distributions. For now we can apply the same fundamental logic from probability distribution directly to sampling distributions. We are going to finally talk about actually generating sampling distributions.
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.
This book provides a clear and methodical approach to essential statistical procedures. It clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. This book features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability.