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 - Digging Deeper into Group Models
-
segmentChapter 9 - Models with a Quantitative Explanatory Variable
-
segmentPART III: EVALUATING MODELS
-
segmentChapter 10 - The Logic of Inference
-
segmentChapter 11 - Model Comparison with F
-
segmentChapter 12 - Parameter Estimation and Confidence Intervals
-
segmentChapter 13 - What You Have Learned
-
segmentFinishing Up (Don't Skip This Part!)
-
segmentResources
list High School / Advanced Statistics and Data Science I (ABC)
Book
Advanced Statistics and Data Science I:
A Modeling Approach (High School / ABC)
Version 5.7 - December 2, 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.
© 2017-2024 The University of California, 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 copyright owner. For more information, including commercial use, contact info@coursekata.org.