In this lesson, we are going to talk about descriptive statistics versus inferential statistics. First we need to distinguish how statistics is different from other mathematics. We will talk about how descriptive and inferential statistics separate. Finally, we are going to talk about populations versus samples and then we are going to put all of those ideas together and look at how population, samples, descriptive, and inferential statistics all fit together. Statistics is invented because we want to do better in science. We even have a special name for the scatter of measurements and that is called a distribution.
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.