Intuitive Introductory Statistics
This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not val
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Douglas A. Wolfe Grant Schneider
Intuitive Introductory Statistics
Springer Texts in Statistics Series editors R. DeVeaux S.E. Fienberg I. Olkin
Springer Texts in Statistics (STS) includes advanced textbooks from 3rd- to 4th-year undergraduate courses to 1st- to 2nd-year graduate courses. Exercise sets should be included. The series editors are currently Stephen Fienberg and Richard D. De Veaux. George Casella and Ingram Olkin were editors of the series for many years.
More information about this series at http://www.springer.com/series/417
Douglas A. Wolfe • Grant Schneider
Intuitive Introductory Statistics
Douglas A. Wolfe Department of Statistics The Ohio State University Columbus, OH, USA
Grant Schneider Upstart Network San Carlos, CA, USA
ISSN 1431-875X ISSN 2197-4136 (eBook) Springer Texts in Statistics ISBN 978-3-319-56070-0 ISBN 978-3-319-56072-4 (eBook) DOI 10.1007/978-3-319-56072-4 Library of Congress Control Number: 2017950163 # Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To our wives, Marilyn and Jingjing, for their patience and support through the lengthy preparation of this text
Preface
Understanding and interpreting data, both experimental data and the vast quantity of observational data that is now routinely available in the public domain, need not be linked solely to comprehension of a prescribed set of mathematical expressions. Introducing students to the beauty of statistics can be both motivational and interesting without being encumbered by equations. In fact, it is our view that the goal of an introductory statistics course should be to foster an appreciation for
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