Course Outline
-
segmentGetting Started (Don't Skip This Part)
-
segmentStatistics and Data Science: A Modeling Approach
-
Statistics and Data Science (Title Page)
-
-
segmentPART I: EXPLORING VARIATION
-
segmentChapter 1 - Welcome to Statistics: A Modeling Approach
-
segmentChapter 2 - Understanding Data
-
segmentChapter 3 - Examining Distributions
-
segmentChapter 4 - Explaining Variation
-
segmentPART II: MODELING VARIATION
-
segmentChapter 5 - A Simple Model
-
segmentChapter 6 - Quantifying Error
-
segmentChapter 7 - Adding an Explanatory Variable to the Model
-
segmentChapter 8 - Models with a Quantitative Explanatory Variable
-
segmentPART III: EVALUATING MODELS
-
segmentChapter 9 - Distributions of Estimates
-
segmentChapter 10 - Confidence Intervals and Their Uses
-
segmentChapter 11 - Model Comparison with the F Ratio
-
segmentChapter 12 - What You Have Learned
-
segmentFinishing Up (Don't Skip This Part!)
-
segmentResources
list full book
Book
Statistics and Data Science:
A Modeling Approach
Version 2.4 - July 2021
Ji Y. Son |
James W. Stigler |
With the assistance of:
Karen Givvin
Mary Tucker
Laura Fries
Adam Blake
Icy Zhang
Acknowledgements: This project has been made possible in part by grants from the Chan Zuckerberg Initiative and the California Governor’s Office of Planning and Research.
© 2017-2021 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.