***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 752 p. Audience: College/higher education.

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Bibliografische Details

Titel

An Introduction to Mathematical Statistics and Its Applications, 6th

Verlag

Pearson

Erscheinungsjahr

2017

Sprache

Englisch

ISBN-10

0134114213

ISBN-13

9780134114217

Einband

Trade paperback

Auflage

6th edition. INTERNATIONAL EDITION

Zustand

New in new dust jacket.

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Inhaltsangabe

For courses in Mathematical Statistics

Introducing the principles of statistics and data modeling

Introduction to Mathematical Statistics and Its Applications, 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

Rese�a del editor

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications, 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

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