In this lesson, we are going to be talking about conditional probability. Previously we talked about probability of A and B, but now we are going to be talking about conditional probability. In order to find conditional probability, we are going to talk about the multiplication rule. It is going to be mathematical way that conditional probability fits with the other probability spaces. Then we will talk about two common uses of conditional probability and statistics. We are also going to talk about how conditional probability is important in statistical inference.
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.