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 1. Welcome to IMS2

Introduction to Modern Statistics (2nd Ed)
  

  * Welcome to IMS2
  * Authors
  * Preface
  * Introduction to data
      + 1  Hello data
      + 2  Study design
      + 3  Applications: Data
  * Exploratory data analysis
      + 4  Exploring categorical data
      + 5  Exploring numerical data
      + 6  Applications: Explore
  * Regression modeling
      + 7  Linear regression with a single predictor
      + 8  Linear regression with multiple predictors
      + 9  Logistic regression
      + 10  Applications: Model
  * Foundations of inference
      + 11  Hypothesis testing with randomization
      + 12  Confidence intervals with bootstrapping
      + 13  Inference with mathematical models
      + 14  Decision Errors
      + 15  Applications: Foundations
  * Statistical inference
      + 16  Inference for a single proportion
      + 17  Inference for comparing two proportions
      + 18  Inference for two-way tables
      + 19  Inference for a single mean
      + 20  Inference for comparing two independent means
      + 21  Inference for comparing paired means
      + 22  Inference for comparing many means
      + 23  Applications: Infer
  * Inferential modeling
      + 24  Inference for linear regression with a single predictor
      + 25  Inference for linear regression with multiple predictors
      + 26  Inference for logistic regression
      + 27  Applications: Model and infer
  * Appendices
      + A  Exercise solutions
      + B  References

Table of contents

  * Welcome to IMS2

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Introduction to Modern Statistics (2nd Ed)

[IMS2_front]

Welcome to IMS2

This is the website for Introduction to Modern Statistics, Second
Edition by Mine Cetinkaya-Rundel and Johanna Hardin. Introduction to
Modern Statistics, which we'll refer to as IMS going forward, is a
textbook from the OpenIntro project.

IMS2 is currently under construction, it's planned to be released in
Spring 2024. The first edition of the book is available at
openintro-ims.netlify.app with additional resources at openintro.org/
book/ims. If you have any feedback on the work-in-progress second
edition or catch any typos, we would appreciate you reporting at
github.com/OpenIntroStat/ims.

Copyright (c) 2023.

Second Edition.

Version date: October 12, 2023.

This textbook and its supplements, including slides, labs, and
interactive tutorials, may be downloaded for free at
openintro.org/book/ims.

This textbook is a derivative of OpenIntro Statistics 4th Edition and
Introduction to Statistics with Randomization and Simulation 1st
Edition by Diez, Barr, and Cetinkaya-Rundel, and it's available under
a Creative Commons Attribution-ShareAlike 3.0 Unported United States
License. License details are available at the Creative Commons
website:
creativecommons.org.

Source files for this book can be found on GitHub at
github.com/OpenIntroStat/ims.

Authors

This is IMS2e!

 

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