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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Statistics and Data Science (Title Page)
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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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segmentChapter 13 - What You Have Learned
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list High School / Advanced Statistics and Data Science I (ABC)
Advanced Statistics and Data Science I:
A Modeling Approach (High School / ABC)
Version 5.6.2 - July 22, 2024
With the assistance of countless teachers and students who have generously provided us with suggestions, corrections, and improvements; and the entire CourseKata team.
Acknowledgements: This project has been made possible in part by grants from the Chan Zuckerberg Initiative, the California Governor’s Office of Planning and Research, the Valhalla Foundation, and the Bill & Melinda Gates Foundation.
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