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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segmentChapter 12 - What You Have Learned
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list Statistics and Data Science (ABC)
Book
Statistics and Data Science:
A Modeling Approach
Version 3.1 - March 2022
|
Ji Y. Son |
James W. Stigler |
With the assistance of:
Karen Givvin
Mary Tucker
Laura Fries
Adam Blake
Icy Zhang
Caylor Davis
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.