We are going to be talking about sampling methods. Previously we talked a lot about bias sampling methods and the different kinds of problems that they have. In this lesson, we are going to talk about unbiased sampling methods. These methods are all called probability sampling methods. As you could tell, the biased sampling methods, like convenience sampling and judgment sampling methods, are called nonprobability sampling methods. We will cover the simple random method, the cluster sampling, and some others. At the end we will do some useful examples for better understanding of this topic.
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.