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OpenIntro statistics / David M Diez, Christopher D Barr, Mine, Çetinkaya-Rundel.

By: Contributor(s): Material type: TextPublication details: [Poland] : OpenIntro, 2015.Edition: 3rd edDescription: 436 p. : ill. b&w ; 25 cmISBN:
  • 978194350039
Subject(s): DDC classification:
  • 519.5
Online resources:
Contents:
Ch. 1. Introduction to data -- Ch. 2. Probability (special topic) -- Ch. 3. Distributions of random variables -- Ch. 4. Foundations of inference -- Ch. 5. Inference for numerical data -- Ch. 6. Inference for categorical data -- Ch. 7. Introduction to linear regression -- Ch. 8. Multiple and logistic regression -- A. End of chapter exercise solutions -- B. Distribution tables.
Summary: The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible.
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Includes index.

Ch. 1. Introduction to data --
Ch. 2. Probability (special topic) --
Ch. 3. Distributions of random variables --
Ch. 4. Foundations of inference --
Ch. 5. Inference for numerical data --
Ch. 6. Inference for categorical data --
Ch. 7. Introduction to linear regression --
Ch. 8. Multiple and logistic regression --
A. End of chapter exercise solutions --
B. Distribution tables.

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible.

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