In this lesson, we are going to be talking about probability distributions. So far we have covered sampling methods as well as a little bit about basics of fundamental probability. In probability distributions, we are going to be playing those two ideas together and work on that so we can get what we want out of them. We will talk about what sampling and probability cannot do. They cannot tell us something and because of that we need probability distribution and that is going to be the solution to what sampling and probability alone cannot accomplish. With the probability distribution, we are going to be talking about random variable and what that means and what the expected value is.
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.