Course Outline
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segmentGetting Started (Don't Skip This Part)
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segmentStatistics and Data Science: A Modeling Approach
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segmentPART I: EXPLORING VARIATION
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segmentChapter 1 - Welcome to Statistics: A Modeling Approach
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segmentChapter 2 - Understanding Data
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segmentChapter 3 - Examining Distributions
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segmentChapter 4 - Explaining Variation
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segmentPART II: MODELING VARIATION
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segmentChapter 5 - A Simple Model
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segmentChapter 6 - Quantifying Error
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segmentChapter 7 - Adding an Explanatory Variable to the Model
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segmentChapter 8 - Digging Deeper into Group Models
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segmentChapter 9 - Models with a Quantitative Explanatory Variable
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segmentPART III: EVALUATING MODELS
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segmentChapter 10 - The Logic of Inference
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segmentChapter 11 - Model Comparison with F
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segmentChapter 12 - Parameter Estimation and Confidence Intervals
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segmentPART IV: MULTIVARIATE MODELS
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segmentChapter 13 - Introduction to Multivariate Models
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segmentChapter 14 - Multivariate Model Comparisons
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segmentChapter 15 - Models with Interactions
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segmentChapter 16 - More Models with Interactions
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list College / Advanced Statistics with R (ABCD)
Book
Download the R Cheatsheet
R has a huge number of commands, which sometimes makes it hard to find the one you are looking for. We use a very limited number of commands in this course. For your convenience, we’ve put all the ones we use on the R Cheatsheet.
The cheatsheet is a little different for each version of the book. The version of the book you have is ABCD, so choose that from the list below. Each book has a PDF version and a Word doc version in case you want to modify it:
- AB
- ABC
- ABCD
- XCD