Get access to all lessons in this course.
-
Welcome
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
-
t-tests
- Independent t-test
- Dependent t-test
-
One-Way ANOVA
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
-
Chi-Square
- Chi-Square
- Dealing with Small Cells
-
Correlation
- Correlation
-
Regression
- Linear Regression
- Multiple Regression
- Hierarchical Regression
-
Reliability
- Reliability
-
Reporting Results
- Extracting Output
- Reporting Results
-
Testing Assumptions
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Inferential Statistics with R
Testing for Homogeneity of Variance
This lesson is locked
This lesson is called Testing for Homogeneity of Variance, part of the Inferential Statistics with R course. This lesson is called Testing for Homogeneity of Variance, part of the Inferential Statistics with R course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
Using each of the two methods, test whether the variance of weight_1 differs by whether someone smokes. Come to a conclusion: is there homogeneity of variance in weight by smoking status?
Learn More
Read more about testing for homogeneity of variance in R.
You need to be signed-in to comment on this post. Login.