The Assumption of HOMOGENEITY of Variance in Parametric Tests (16-7)

When using independent groups, parametric statistical tests require homogeneity of variance between the groups. I explain why heterogeneity is a problem, how to test for homogeneity using Levene’s test, and when to use Welch’s t-test if the assumption has been violated.
This video uses Stats Blocks to illustrate the statistical concepts of hypothesis testing. Stats Blocks were designed by Dr. Todd Daniel to explain abstract statistical concepts using concrete illustrations and inductive reasoning.

Chapters
0:00 Homogeneity
0:45 Why homogeneity matters
2:01 Testing for homogeneity of variance

▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
This video is part of a series for an introductory statistics course. It supports an academic course QBA 237 Basic Business Statistics at Missouri State University, College of Business, Department of Information Technology and Cybersecurity. Posted beginning in August 2022.
This series was designed, written, produced, recorded, edited, and posted by Dr. Todd Daniel, a Ph.D. statistician and researcher with extensive experience in academic statistical research and statistics instruction. Dr. Daniel directed a research institute for many years before doing private consulting for Research by Design, LLC. He remains active in teaching and research.

▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
Statistics Instructors: you are free to link to this video and the playlist for your seated or online statistics course or for other educational purposes.

Edited in Camtasia 2022
Visual and audio content from DigitalJuice.com
Music: Digital Juice Royalty Free Music

▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
Link to a Google Drive folder with any files that I use in the videos.
https://drive.google.com/drive/folder...
To download, hover your cursor over the file icon and a blue download icon will appear. You do not need to request access to a file.