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Introductory Statistics with Randomization and Simulation

First Edition

Ocena książki

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  • 354 strony
  • 13 godzin czytania

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The latest version of this textbook, after heavy revision, is titled Introduction to Modern Statistics . We are recommending readers and courses to switch to this new book.This textbook may be downloaded as a free PDF on the project's website. OpenIntro develops free textbooks and course resources for introductory statistics that exceeds the quality standards of traditional textbooks and resources, and that maximizes accessibility options for the typical student. The approach taken in this textbooks differs from OpenIntro Statistics in its introduction to inference. The foundations for inference are provided using randomization and simulation methods. Once a solid foundation is formed, a transition is made to traditional approaches, where the normal and t distributions are used for hypothesis testing and the construction of confidence intervals.

Zakup książki

Introductory Statistics with Randomization and Simulation, David M. Diez, Christopher D Barr, Mine Çetinkaya-Rundel

Język
Rok wydania
2014
Oprawa
(miękka)
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Metody płatności

3,8
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17 Ocena

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Tytuł
Introductory Statistics with Randomization and Simulation
Podtytuł
First Edition
Język
angielski
Oprawa
miękka
Liczba stron
354
ISBN10
1500576697
ISBN13
9781500576691
Seria
Ocena
3,8 z 5
Opis
The latest version of this textbook, after heavy revision, is titled Introduction to Modern Statistics . We are recommending readers and courses to switch to this new book.This textbook may be downloaded as a free PDF on the project's website. OpenIntro develops free textbooks and course resources for introductory statistics that exceeds the quality standards of traditional textbooks and resources, and that maximizes accessibility options for the typical student. The approach taken in this textbooks differs from OpenIntro Statistics in its introduction to inference. The foundations for inference are provided using randomization and simulation methods. Once a solid foundation is formed, a transition is made to traditional approaches, where the normal and t distributions are used for hypothesis testing and the construction of confidence intervals.