In this lesson, we are going to talk about the chi-square goodness-of-fit test. First, we are going to start with the bigger review of where the chi-square test actually fits in amongst all the different inferential statistics we have been learning so far. Then, we are going to talk about a new kind of hypothesis testing, the goodness of fit hypothesis test. It is going to be similar to hypothesis testing as weve been doing so far, but there is a slightly different logic behind it. Then we are going to introduce the chi-square distribution and the chi-square statistic. And finally, we are going to talk about the conditions for chi-square test to see when do we actually do it.
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.