In this lesson, we are going to talk about binomial distribution. So far we have been talking about discrete probability distributions and we saw how these models look like. Now the binomial distribution is the special case of these discrete probability distributions. We are going to talk about this special case because it actually ends up being one of the most frequent probability distributions that you end up using. Then we are going to talk about probabilities in a binomial distribution. We will see how do we actually get the spread of all those probabilities, how do we find expected value, and how do we find the standard deviation.
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.