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 - Models with a Quantitative Explanatory Variable
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segmentPART III: EVALUATING MODELS
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segmentChapter 9 - The Logic of Inference
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segmentChapter 10 - Model Comparison with F
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segmentChapter 11 - Parameter Estimation and Confidence Intervals
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segmentPART IV: MULTIVARIATE MODELS
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segmentChapter 12 - Introduction to Multivariate Models
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segmentChapter 13 - Multivariate Model Comparisons
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list College / Advanced Statistics and Data Science (ABCD)
Book
1.7 Chapter 1 Review Questions
require(coursekata)
# run your code hereCK Code: A1_Code_Review_01
require(coursekata)
# run your code hereCK Code: A1_Code_Review_02