Beyond Basic Statistics (eBook)

Tips, Tricks, and Techniques Every Data Analyst Should Know
eBook Download: PDF
2015 | 1. Auflage
208 Seiten
Wiley (Verlag)
978-1-118-85609-3 (ISBN)

Lese- und Medienproben

Beyond Basic Statistics -  Kristin H. Jarman
Systemvoraussetzungen
53,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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.

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.

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

"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)

Erscheint lt. Verlag 22.4.2015
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik
Schlagworte Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Data Analysis • Datenanalyse • Statistics • Statistik
ISBN-10 1-118-85609-0 / 1118856090
ISBN-13 978-1-118-85609-3 / 9781118856093
Haben Sie eine Frage zum Produkt?
PDFPDF (Adobe DRM)
Größe: 5,8 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich