Introductory Statistics with Randomization and Simulation

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. (1) Statistics is an applied field with a wide range of practical applications. (2) You don't have to be a math guru to learn from interesting, real data. (3) Data...

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Bibliographic Details
Main Authors: Diez, David (Author), Barr, Christopher (Author), Çetinkaya-Rundel, Mine (Author)
Format: Electronic eBook
Language:English
Published: [Place of publication not identified] OpenIntro [2014]
Edition:First Edition
Series:Open textbook library.
Subjects:
Online Access:Access online version
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Table of Contents:
  • 1. Introduction to data.
  • 2. Foundations for inference.
  • 3. Inference for categorical data.
  • 4. Inference for numerical data.
  • 5. Introduction to linear regression.
  • 6. Multiple and logistic regression.
  • Appendix A. Probability.