Statistics Done Wrong: The Woefully Complete Guide

Statistics Done Wrong: The Woefully Complete Guide Author Alex Reinhart
ISBN-10 9781593276201
Release
Publisher No Starch Press
Download Link Click Here

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong.
Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.
You'll find advice on:
  • Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan
  • How to think about p values, significance, insignificance, confidence intervals, and regression
  • Choosing the right sample size and avoiding false positives
  • Reporting your analysis and publishing your data and source code
  • Procedures to follow, precautions to take, and analytical software that can help
Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know.
The first step toward statistics done right is Statistics Done Wrong.



Naked Statistics: Stripping the Dread from the Data

Naked Statistics: Stripping the Dread from the Data Author Charles Wheelan
ISBN-10 9780393347777
Release
Publisher W. W. Norton & Company
Download Link Click Here

“Brilliant, funny . . . the best math teacher you never had.”―San Francisco Chronicle

Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.

And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal―and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.



How to Lie with Statistics

How to Lie with Statistics Author Darrell Huff
ISBN-10 9780393310726
Release
Publisher W. W. Norton & Company
Download Link Click Here

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.



What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics

What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics Author Andrew J. Vickers
ISBN-10 9780321629302
Release
Publisher Pearson
Download Link Click Here

What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day.

 

Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us

 

For all readers interested in statistics.



Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series) Author Geoff Cumming
ISBN-10 9780415879682
Release 2011-08-17
Publisher Routledge
Download Link Click Here

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines.

Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice.

The book’s pedagogical program, built on cognitive science principles, reinforces learning:

  • Boxes provide "evidence-based" advice on the most effective statistical techniques.
  • Numerous examples reinforce learning, and show that many disciplines are using the new statistics.
  • Graphs are tied in with ESCI to make important concepts vividly clear and memorable.
  • Opening overviews and end of chapter take-home messages summarize key points.
  • Exercises encourage exploration, deep understanding, and practical applications.

This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.



Bayes' Rule: A Tutorial Introduction to Bayesian Analysis

Bayes' Rule: A Tutorial Introduction to Bayesian Analysis Author James V Stone
ISBN-10 9780956372840
Release
Publisher Sebtel Press
Download Link Click Here

Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis.



Willful Ignorance: The Mismeasure of Uncertainty

Willful Ignorance: The Mismeasure of Uncertainty Author Herbert I. Weisberg
ISBN-10 9780470890448
Release
Publisher Wiley
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An original account of willful ignorance and how this principle relates to modern probability and statistical methods

Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public.

Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty. The book explains how statistical methodology, though enormously productive and influential over the past century, is approaching a crisis. The deep and troubling divide between qualitative and quantitative modes of research, and between research and practice, are reflections of this underlying problem. The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery. 

Willful Ignorance: The Mismeasure of Uncertainty presents essential information and novel ideas that should be of interest to anyone concerned about the future of scientific research. The book is especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.



Statistics Done Wrong - Statistik richtig anwenden und gängige Fehler vermeiden -- Deutsche Ausgabe (mitp Professional) (German Edition)

Statistics Done Wrong - Statistik richtig anwenden und gängige Fehler vermeiden -- Deutsche Ausgabe (mitp Professional) (German Edition) Author Alex Reinhart
ISBN-10
Release 2016-09-26
Publisher mitp Verlags GmbH & Co. KG
Download Link Click Here

  • Daten sinnvoll auswerten – mit den geeigneten Verfahren
  • Die richtigen Fragen stellen und passende Experimente durchführen
  • Die häufigsten Fehler kennen und Fallstricke umgehen

Statistische Datenanalysen sind ein Grundpfeiler der Wissenschaft. Die Vielfalt der zur Verfügung stehenden Verfahren und Methoden lässt Forschern jedoch einen enormen Spielraum bei der Analyse ihrer Daten. Leider fehlt vielen Wissenschaftlern das fundierte Fachwissen, statistische Verfahren korrekt anzuwenden. Deshalb werden häufig nicht die richtigen Analysen vorgenommen, die zu zahlreichen falschen Ergebnisse führen.

Mit diesem Buch erhalten Wissenschaftler und Studenten einen kompakten Leitfaden für die korrekte Anwendung statistischer Verfahren. Gängige Fehler und Missstände bei der Erstellung von Statistiken werden anhand konkreter Fallbeispiele aufgedeckt und dafür praktische Lösungen angeboten.

Der Autor gibt zahlreiche Hinweise u.a. zu folgenden Themen:

  • Die richtigen Fragen stellen, geeignete Experimente entwerfen und korrekte statistische Analysemethoden auswählen
  • p-Werte, Signifikanz, Nicht-Signifikanz, Konfidenzintervalle und Regression
  • Auswahl einer geeigneten Stichprobengröße und Vermeidung falscher Positiver

Am Ende der Kapitel finden Sie Tipps, die Aufschluss darüber geben, welche statistischen Verfahren Sie anwenden können, um die häufigsten Fallstricke zu umgehen. So werden Sie auf die verbreitetsten Probleme hingewiesen und in die Lage versetzt, das für eine gegebene Aufgabe am besten geeignete statistische Verfahren auszuwählen.

Dieses Buch ist ein kompakter und praktischer Ratgeber, der Ihnen dabei hilft, Forschung zu betreiben, deren Statistik Hand und Fuß hat.

Aus dem Inhalt:
  • Interpretation von Signifikanzwerten (p-Wert und t-Test)
  • Hypothesentests
  • Konfidenzintervalle
  • Falsche Positive und falsche Negative
  • Neyman-Pearson-System
  • Statistische Teststärke und Sicherheitsgrad
  • Prävalenzfehler vermeiden
  • Bonferroni-Korrektur
  • Benjamini-Hochberg-Verfahren
  • Standardabweichung und Standardfehler
  • Regression
  • Medianwertaufteilung
  • ANOVA-Verfahren
  • Einflussvariablen, Zielvariablen, Störvariablen
  • Leave-one-out-Kreuzvalidierung
  • Simpsons Paradoxon
  • Statistische Irrtümer



By Alex Reinhart - Statistics Done Wrong: The Woefully Complete Guide (2015-03-31) [Paperback]

By Alex Reinhart - Statistics Done Wrong: The Woefully Complete Guide (2015-03-31) [Paperback] Author Alex Reinhart
ISBN-10
Release
Publisher No Starch Press
Download Link Click Here

By Alex Reinhart - Statistics Done Wrong: The Woefully Complete Guide (2015-03-31) [Paperback] has been writing in one form or another for most of life. You can find so many inspiration from By Alex Reinhart - Statistics Done Wrong: The Woefully Complete Guide (2015-03-31) [Paperback] also informative, and entertaining. Click DOWNLOAD or Read Online button to get full By Alex Reinhart - Statistics Done Wrong: The Woefully Complete Guide (2015-03-31) [Paperback] book for free.



Statistics Baseball Hats Hats Men's Hi-Q Hats Women's

Statistics Baseball Hats Hats Men's Hi-Q Hats Women's Author
ISBN-10 6310366091579
Release
Publisher
Download Link Click Here

Lightweight Working Cap Is Great For Full Time Outdoor Workers In The Low-risk Workplace,This Hat Was Designed To Support Hard Play With Ultimate Durability And Reinforced Stitching. This Cap Also Contains An Adjustable Clasp In The Back To Accommodate Any Fashion Style,for Those Who Desire Their Own Unique Look.



Statistics Done Wrong

Statistics Done Wrong Author Alex Reinhart
ISBN-10 9781593276201
Release 2015
Pages 152
Download Link Click Here

Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.



Statistics Done Wrong

Statistics Done Wrong Author Alex Reinhart
ISBN-10 1593276737
Release 2015
Pages 177
Download Link Click Here

"Discusses how to avoid the most common statistical errors in modern research, and perform more accurate statistical analyses"--



Statistics Done Wrong

Statistics Done Wrong Author Alex Reinhart
ISBN-10 1457189844
Release 2015
Pages
Download Link Click Here

Statistics Done Wrong has been writing in one form or another for most of life. You can find so many inspiration from Statistics Done Wrong also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Statistics Done Wrong book for free.



Understanding The New Statistics

Understanding The New Statistics Author Geoff Cumming
ISBN-10 9781136659188
Release 2013-06-19
Pages 535
Download Link Click Here

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.



Naked Statistics Stripping the Dread from the Data

Naked Statistics  Stripping the Dread from the Data Author Charles Wheelan
ISBN-10 9780393089820
Release 2013-01-07
Pages 302
Download Link Click Here

“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.



The Seven Pillars of Statistical Wisdom

The Seven Pillars of Statistical Wisdom Author Stephen M. Stigler
ISBN-10 9780674970212
Release 2016-03-07
Pages 240
Download Link Click Here

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.



Common Errors in Statistics and How to Avoid Them

Common Errors in Statistics  and How to Avoid Them Author Phillip I. Good
ISBN-10 9781118360118
Release 2012-06-07
Pages 352
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Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting." —CHOICE "Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research." —MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline data Detecting fraud Linear regression versus linear behavior Case control studies Minimum reporting requirements Non-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.



How to Lie with Statistics

How to Lie with Statistics Author Darrell Huff
ISBN-10 0393070875
Release 2010-12-07
Pages 144
Download Link Click Here

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.



Math on Trial

Math on Trial Author Leila Schneps
ISBN-10 9780465037940
Release 2013-03-12
Pages 272
Download Link Click Here

In the wrong hands, math can be deadly. Even the simplest numbers can become powerful forces when manipulated by journalists, politicians or other public figures, but in the case of the law your liberty—and your life—can depend on the right calculation. Math on Trial tells the story of ten trials in which mathematical arguments were used—and disastrously misused—as evidence. Despite years of math classes, most people (and most jurors) fail to detect even simple mathematical sophistry, resulting in such horrors as a medical expert’s faulty calculation of probabilities providing the key evidence for a British mother’s conviction for the murder of her two babies. The conviction was later overturned, but three years in prison took its toll—Sally Clark died of acute alcohol intoxication in March of 2007. Mathematicians Leila Schneps and Coralie Colmez use a wide range of examples, from a mid-19th-century dispute over wills that became a signal case in the forensic use of mathematics, to the conviction and subsequent exoneration of Amanda Knox, to show how the improper application of mathematical concepts can mean the difference between walking free and life in prison. The cases discussed include: -The Case of Amanda Knox (How a judge’s denial of a second DNA test may have destroyed a chance to reveal the truth about Meredith Kercher’s murder) -The Case of Joe Sneed (How a fabricated probability framed a son for his parents’ grisly killing) -The Case of Sally Clark (How multiplying non-independent probabilities landed an innocent mother in jail for the murder of her children) -The Case of Janet Collins (How unjustified estimates combined with a miscalculated probability convicted an innocent couple of violent robbery) A colorful narrative of mathematical abuse featuring such characters as Charles Ponzi, Alfred Dreyfus, Hetty Green, and Oliver Wendell Holmes, Math on Trial shows that legal expertise isn’t everything when it comes to proving a man innocent.



Statistics As Principled Argument

Statistics As Principled Argument Author Robert P. Abelson
ISBN-10 9781135694418
Release 2012-09-10
Pages 240
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In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.



Linear Algebra Done Right

Linear Algebra Done Right Author Sheldon Axler
ISBN-10 9783319110806
Release 2014-11-05
Pages 340
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This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions. No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.



How Not to be Wrong

How Not to be Wrong Author Jordan Ellenberg
ISBN-10 9781594205224
Release 2014
Pages 468
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The columnist for Slate's popular "Do the Math" celebrates the logical, illuminating nature of math in today's world, sharing in accessible language mathematical approaches that demystify complex and everyday problems.



Introduction to the New Statistics

Introduction to the New Statistics Author Geoff Cumming
ISBN-10 9781317483373
Release 2016-10-04
Pages 594
Download Link Click Here

This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.



Statistics in a Nutshell

Statistics in a Nutshell Author Sarah Boslaugh
ISBN-10 9781449361143
Release 2012-11-10
Pages 594
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Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts. Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book. Learn basic concepts of measurement and probability theory, data management, and research design Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher’s exact tests, and techniques for analyzing nonparametric data Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology Communicate with statistics and critique statistical information presented by others



What is a P value Anyway

What is a P value Anyway Author Andrew Vickers
ISBN-10 UCSD:31822037169695
Release 2010
Pages 212
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What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.



Statistics Hacks

Statistics Hacks Author Bruce Frey
ISBN-10 0596553994
Release 2006-05-09
Pages 358
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Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks. These cool tips, tricks, and mind-boggling solutions from the world of statistics, measurement, and research methods will not only amaze and entertain you, but will give you an advantage in several real-world situations-including business. This book is ideal for anyone who likes puzzles, brainteasers, games, gambling, magic tricks, and those who want to apply math and science to everyday circumstances. Several hacks in the first chapter alone-such as the "central limit theorem,", which allows you to know everything by knowing just a little-serve as sound approaches for marketing and other business objectives. Using the tools of inferential statistics, you can understand the way probability works, discover relationships, predict events with uncanny accuracy, and even make a little money with a well-placed wager here and there. Statistics Hacks presents useful techniques from statistics, educational and psychological measurement, and experimental research to help you solve a variety of problems in business, games, and life. You'll learn how to: Play smart when you play Texas Hold 'Em, blackjack, roulette, dice games, or even the lottery Design your own winnable bar bets to make money and amaze your friends Predict the outcomes of baseball games, know when to "go for two" in football, and anticipate the winners of other sporting events with surprising accuracy Demystify amazing coincidences and distinguish the truly random from the only seemingly random--even keep your iPod's "random" shuffle honest Spot fraudulent data, detect plagiarism, and break codes How to isolate the effects of observation on the thing observed Whether you're a statistics enthusiast who does calculations in your sleep or a civilian who is entertained by clever solutions to interesting problems, Statistics Hacks has tools to give you an edge over the world's slim odds.



Cartoon Guide to Statistics

Cartoon Guide to Statistics Author Larry Gonick
ISBN-10 9780062731029
Release 1993-07-14
Pages 240
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If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more—all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!