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Inferential Statistics with R
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
- Independent t-test
- Dependent t-test
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
- Dealing with Small Cells
- Linear Regression
- Multiple Regression
- Hierarchical Regression
- Extracting Output
- Reporting Results
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Introduction to the Dataset
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This lesson is called Introduction to the Dataset, part of the Inferential Statistics with R course. This lesson is called Introduction to the Dataset, part of the Inferential Statistics with R course.
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You’ll be working with the college dataset to run all your analyses.
Create a new project. Make sure you put it somewhere you’ll be able to find it again later!
Download the dataset “college.csv” from https://bit.ly/college-dataset
Create a new R script file or RMarkdown document where you’ll do all of your inferential statistics. Alternatively, download the blank exercises document.
Import the spreadsheet into a dataframe