In this video, we are going to be talking about independent events. In the previous lesson, we have covered conditional probability. Now well see that independent events have a lot to do with conditional probability. We are going to look at how they relate to each other. We are going to actually define what is an independent event mathematically. Then we are going to modify the multiplication rule for a conditional probability for independent events. At the end, we will also do some examples for better understanding of independent events.
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.