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-
Welcome
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
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t-tests
- Independent t-test
- Dependent t-test
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One-Way ANOVA
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
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Chi-Square
- Chi-Square
- Dealing with Small Cells
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Correlation
- Correlation
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Regression
- Linear Regression
- Multiple Regression
- Hierarchical Regression
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Reliability
- Reliability
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Reporting Results
- Extracting Output
- Reporting Results
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Testing Assumptions
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Inferential Statistics with R
Testing for Homogeneity of Variance
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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.
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Transcript
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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?
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Read more about testing for homogeneity of variance in R.
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