In this lecture, we are going to be introduced to confidence intervals. First we are going to do a brief overview of inferential statistics. We have been trying to do some inferential statistics but there have been a couple of problems we keep running into. We will address some of those problems head on and come up with two solutions. One of those solutions is the confidence interval and we are going to talk about confidence intervals when the sigma, population, standard deviation is known and when sigma is unknown.
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.