Overview
- Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing
- Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
- Designed for use inside and outside statistics departments
- Accompanying data sets and R code make this textbook easy to use for students and instructors
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Texts in Statistics (STS)
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Table of contents(12 chapters)
About this book
Authors and Affiliations
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Department of Statistics, The Ohio State University, Columbus, USA
Douglas A. Wolfe
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Upstart Network, San Carlos, USA
Grant Schneider
About the authors
Bibliographic Information
Book Title: Intuitive Introductory Statistics
Authors: Douglas A. Wolfe, Grant Schneider
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-3-319-56072-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-56070-0Published: 18 October 2017
eBook ISBN: 978-3-319-56072-4Published: 09 October 2017
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 1
Number of Pages: XVIII, 976
Number of Illustrations: 34 b/w illustrations, 86 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Social Sciences, Humanities, Law