We are going to talk about expected value and variance of probability distribution. First, we will do just a brief recap of discrete versus continuous random variable, because we need to understand random variable in order for us to move on to understanding expected value and variance. Then we are going to do a brief mean and variance review. We are going to talk about the new versions of mean and variance, mean and variance of probability distribution. We are going to talk about three special situations, and one of them is the linear transformations of random variable X.
Expected Value & Variance of Probability 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.