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 - 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
Advanced Statistics and Data Science:
A Modeling Approach (ABCD)
Version 4.1 - July 2022
With the assistance of (in alphabetical order):
- Adam Blake
- Caylor Davis
- Laura Fries
- Karen Givvin
- Mary Tucker
- Icy Zhang
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, and the Valhalla Foundation.
© 2017-2022 Ji Y. Son & James W. Stigler, ALL RIGHTS RESERVED. No part of this work may be reproduced, transmitted, stored, or used in any form or by any means, without written permission of the authors.