In this lesson, we are going to talk about t-distribution. Previously, we learned that there are different situations where we use z and when we use t. Today we are going to talk about when to use z versus t. We are going to break down and sort of reflect and recognize what is z and t. We will see what do they have in common and what is different about them. We will talk about rules of t distributions. We will see that they follow certain patterns and t distributions are a family of distributions separated by degrees of freedom.
Hypothesis Testing for the Difference of Two Independent Means
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.