In this video we are going to be talking about sampling and bias. The next couple of lectures are going to be about the way that you collect the data and the different ways that are involved there. We are going to be talking about the difference between descriptive statistics and inferential statistics. In that introduction we are going to start off with how you collect the data in order to do inferential statistics. Also, we will talk about why we use sampling, the goal of sampling and the types of biases that might occur because of different kinds of sampling.
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.