Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions
Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques.
Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life’s important questions.
Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features:
Plentiful examples throughout aimed to strengthen readers’ understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping
Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results.
By:
Kristin H. Jarman (Pacific Northwest National Laboratory in Richland Washington)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions:
Height: 235mm,
Width: 156mm,
Spine: 11mm
Weight: 399g
ISBN: 9781118856116
ISBN 10: 1118856112
Pages: 208
Publication Date: 24 April 2015
Audience:
Professional and scholarly
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Preface ix 1 Introduction: It Seemed like the Right Thing to Do at the Time 1 2 The Type A Diet: Sampling Strategies to Eliminate Confounding and Reduce Your Waistline 9 3 Conservatives, Liberals, and Other Political Pawns: How to Gain Power and Influence with Sample Size Calculations 31 4 Bunco, Bricks, and Marked Cards: Chi‐Squared Tests and How to Beat a Cheater 47 5 Why it Pays to be a Stable Master: Sumo Wrestlers and Other Robust Statistics 69 6 Five‐Hour Marriages: Continuous Distributions, Tests for Normality, and Juicy Hollywood Scandals 91 7 Believe It or Don’t: Using Outlier Detection to Find the Weirdest of the Weird 109 8 The Battle of the Movie Monsters, Round Two: Ramping up Hypothesis Tests with Nonparametric Statistics 123 9 Models, Murphy’s Law, and Public Humiliation: Regression Rules to Live By 139 Appendix A Critical Values for the Standard Normal Distribution 163 Appendix B Critical Values for the T-Distribution 165 Appendix C Critical Values for the Chi-Squared Distribution 167 Appendix D Critical Values for Grubbs’ Test 169 Appendix E Critical Values for Wilcoxson Signed Rank Test: Small Sample Sizes 171 Glossary 173 Index 185
Kristin H. Jarman, PhD, is Senior Research Scientist at the Pacific Northwest National Laboratory in Richland, Washington, where she applies basic and not-so-basic statistical analyses to her own set of research challenges. With over 20 years of experience, she has successfully presented results to those with little or no mathematical sophistication. Dr. Jarman is the author of numerous peer-reviewed journal articles as well as The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics, also published by Wiley.
Reviews for Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know
“This is a consistently entertaining and instructive book. The stories are interspersed with serious background material, and the combination works very well. This would be entirely suitable as supplementary reading for a statistics course or for an independent reading project.” (MAA Reviews, 20 September 2015)
