Tags:statistics
How to Measure Anything
Now updated with new measurement methods and new examples, How to Measure Anything shows managers how to inform themselves in order to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, and technology ROI. Adds new measurement methods, showing how they can be applied to a variety of areas such as risk management and customer satisfaction Simplifies overall content while still making the more technical applications available to those readers who want to dig deeper Continues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methods Shows the common reasoning for calling something immeasurable, and sets out to correct those ideas Offers practical methods for measuring a variety of "intangibles" Provides an online database (www.howtomeasureanything.com) of downloadable, practical examples worked out in detailed spreadsheets Written by recognized expert Douglas Hubbard—creator of Applied Information Economics—How to Measure Anything, Third Edition illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.
International Historical Statistics
International Historical Statistics: Africa, Asia, Oceania is the latest edition of the most authoritative collection of statistics available. Fully updated to 1993, it provides key economic and social indicators for the last 250 years. The volume includes both hard to find historical data, and the latest figures available.
International Historical Statistics: Europe 1750-1993
International Historical Statistics: Europe is the latest edition of the most authoritative collection of statistics available. Fully updated to 1993, it provides key economic and social indicators for the last 250 years of European countries, from employment figures by occupation to annual output of wheat. Hard to find historical data is conveniently gathered together with the latest figures.
Risk Savvy
An eye-opening look at the ways we misjudge risk every day and a guide to making better decisions with our money, health, and personal livesIn the age of Big Data we often believe that our predictions about the future are better than ever before. But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and considering less information.In Risk Savvy, Gigerenzer reveals that most of us, including doctors, lawyers, financial advisers, and elected officials, misunderstand statistics much more often than we think, leaving us not only misinformed, but vulnerable to exploitation. Yet there is hope. Anyone can learn to make better decisions for their health, finances, family, and business without needing to consult an expert or a super computer, and Gigerenzer shows us how.Risk Savvy is an insightful and easy-to-understand remedy to our collective information overload and an essential guide to making smart, confident decisions in the face of uncertainty.
Reckoning with Risk
"This is an important book, full of relevant examples and worrying case histories. By the end of it, the reader has been presented with a powerful set of tools for understanding statistics...anyone who wants to take responsibly for their own medicalchoices should read it" - New ScientistHowever much we crave certainty, we live in an uncertain world. But are we guilty of wildly exaggerating the chances of some unwanted event happening to us? Are ordinary people idiots when reasoning with risk?Far too many of us, argues Gerd Gigerenzer, are hampered by our own innumeracy. Here, he shows us that our difficulties in thinking about numbers can easily be overcome.
Calculated Risks
At the beginning of the twentieth century, H. G. Wells predicted that statistical thinking would be as necessary for citizenship in a technological world as the ability to read and write. But in the twenty-first century, we are often overwhelmed by a baffling array of percentages and probabilities as we try to navigate in a world dominated by statistics.Cognitive scientist Gerd Gigerenzer says that because we haven't learned statistical thinking, we don't understand risk and uncertainty. In order to assess risk -- everything from the risk of an automobile accident to the certainty or uncertainty of some common medical screening tests -- we need a basic understanding of statistics.Astonishingly, doctors and lawyers don't understand risk any better than anyone else. Gigerenzer reports a study in which doctors were told the results of breast cancer screenings and then were asked to explain the risks of contracting breast cancer to a woman who received a positive result from a screening. The actual risk was small because the test gives many false positives. But nearly every physician in the study overstated the risk. Yet many people will have to make important health decisions based on such information and the interpretation of that information by their doctors.Gigerenzer explains that a major obstacle to our understanding of numbers is that we live with an illusion of certainty. Many of us believe that HIV tests, DNA fingerprinting, and the growing number of genetic tests are absolutely certain. But even DNA evidence can produce spurious matches. We cling to our illusion of certainty because the medical industry, insurance companies, investment advisers, and election campaigns have become purveyors of certainty, marketing it like a commodity.To avoid confusion, says Gigerenzer, we should rely on more understandable representations of risk, such as absolute risks. For example, it is said that a mammography screening reduces the risk of breast cancer by 25 percent. But in absolute risks, that means that out of every 1,000 women who do not participate in screening, 4 will die; while out of 1,000 women who do, 3 will die. A 25 percent risk reduction sounds much more significant than a benefit that 1 out of 1,000 women will reap.This eye-opening book explains how we can overcome our ignorance of numbers and better understand the risks we may be taking with our money, our health, and our lives.
Practical Data Cleaning
Tired of wrestling with messy data? Say goodbye to endless hours of frustration and hello to streamlined analysis with "Practical Data Cleaning: 19 Essential Tips to Scrub Your Dirty Data"! This isn't just another technical manual—it's your ultimate guide to mastering data cleaning without the headaches.Imagine breezing through your datasets effortlessly, knowing exactly how to tidy them up for crystal-clear analysis. No more staring at chaotic spreadsheets or battling with obscure software. With our proven tips and tricks, you'll transform your data from chaos to clarity in record time.Whether you're a seasoned analyst or a curious beginner, this book is your ticket to understanding your data inside out. Learn practical strategies to tackle common data issues, select the right tools for the job, and interpret your results with confidence. And guess what? You won't find any baffling jargon here—just straightforward advice that anyone can follow.Join thousands of data enthusiasts who have already unlocked the power of clean data with our bestselling guide. Perfect for professionals looking to boost their analytical prowess or students diving into the world of data science, "Practical Data Cleaning" is your essential companion on the path to data mastery.Stop struggling and start cleaning—order your copy today and discover why cleaning data doesn't have to be a chore! With our book, you'll be a data cleaning pro before you know it. Grab your copy now and get ready to conquer your data challenges effortlessly!
Graphs Don’t Lie
**Graphs Don’t Lie: How to Lie with Graphs and Get Away With It…**Discover the hidden world of misleading graphs with "Graphs Don’t Lie: How to Lie with Graphs and Get Away With It…" This book is your warm, friendly guide to understanding how graphs and charts can be manipulated—and how you can spot these tricks before they deceive you.Ever wondered how a pie chart can make it look like 193% of people support a candidate, or how a graph can show that 34 is smaller than 14? In this engaging and humorous book, award-winning statistician Lee Baker reveals the secrets behind graphical lies and pictorial deceits. You'll learn how numbers can be twisted to mislead and misinform, whether in political campaigns, media reports, or corporate presentations.Packed with real-world examples, "Graphs Don’t Lie" uncovers how politicians, the press, and corporations use graphs and charts to deceive their audiences. From inflated gun death statistics to misleading anti-abortion figures, this book shows you the techniques used to distort the truth and how to see through them.**Benefits of this book:**- **Spot misleading graphs:** Understand the common techniques used to manipulate visual data.- **Evaluate data critically:** Gain insights into how data can be misrepresented for political or commercial gain.- **Enhance your data literacy:** Become a savvy consumer of statistical information.- **Enjoy a humorous and engaging read:** Complex concepts are made accessible and entertaining.Written in plain English and perfect for beginners, "Graphs Don’t Lie" combines humor with instruction to keep you informed and entertained. This book will change the way you look at graphs and charts, making you more critical and discerning.Get ready to dive into the world of data visualization tricks, learn to spot fake graphs, and become skilled at understanding graphs and detecting data deceit. By identifying misleading data, you’ll become an expert in recognizing graph tricks and data misinterpretation. Be aware of media statistics deception and corporate data manipulation, and understand political graph tricks. Boost your statistical literacy and learn to see through data presentation lies.Don't be misled by deceptive visuals. Grab your copy of "Graphs Don’t Lie" today and start seeing through the lies!
Truth, Lies & Statistics
**Truth, Lies & Statistics: How to Lie with Statistics**Unlock the secrets of statistical deception with "Truth, Lies & Statistics: How to Lie with Statistics." This friendly, chatty, and slightly technical guide will help you understand how numbers can be twisted to mislead and misinform—and how you can see through the lies.Did you know that pirates supposedly caused global warming? Or that Mexican lemons are a major cause of deaths on American roads? Award-winning statistician and author Lee Baker takes you on a fascinating journey through eight witty chapters that reveal the tricks used by politicians, corporations, and others to deceive with statistics.**Benefits of this book:**- **Unmask statistical tricks:** Learn the techniques used to manipulate and misrepresent data.- **Enhance critical thinking:** Become adept at spotting misleading statistics in everyday life.- **Empower yourself with knowledge:** Understand how data is used for political and commercial gain.- **Enjoy an engaging read:** Complex concepts are made accessible and entertaining.From the ex-Chancellor of the Exchequer's attempt to convince us that 5 lots of 10 make 150, to the President of the United States claiming that 420,000 is larger than 782,000, this book is packed with real-world examples of statistical lies. In his trademark sardonic style, Lee Baker reveals how these statistical hustlers get away with it.Written in plain English, "Truth, Lies & Statistics" is perfect for beginners and those who want to improve their data literacy. You'll discover how to lie with statistics, recognize data manipulation, and understand the methods used to deceive. With insights into data misrepresentation and techniques for identifying misleading statistics, this book will make you more critical and discerning.Get ready to explore the world of statistical deception, learn to spot fake data, and become an expert in understanding how statistics can be used to mislead. Don't be fooled by deceptive numbers—arm yourself with the knowledge to see through the lies.Grab your copy of "Truth, Lies & Statistics" today and start seeing the truth behind the numbers!
Beginner’s Guide to Correlation Analysis
**Beginner’s Guide to Correlation Analysis: Learn The One Reason Your Correlation Results Are Probably Wrong**Ever wondered why your correlation results seem off? There's one crucial factor you might be missing. But don't worry, "Beginner’s Guide to Correlation Analysis" is here to help you get it right!**Why you need this book:**- **Clear understanding:** Learn the fundamental principles of correlation analysis in an easy-to-follow way.- **Avoid common mistakes:** Discover the most common reason why correlation results are often incorrect and how to fix it.- **Practical guidance:** Get practical tips on how to choose the right methods for analyzing your data.- **No jargon:** Enjoy explanations in plain English, without any complicated statistical terminology.- **Visual examples:** Benefit from visually intuitive examples that make the concepts easy to grasp.- **Beginner-friendly:** Perfect for those new to statistics, no prior experience required.Correlation is all about understanding how two variables move together. If one changes, the other is likely to change as well. But many people get their correlation results wrong because they overlook a critical aspect. This book will show you what that is and how to correct it.In "Beginner’s Guide to Correlation Analysis," you'll learn to work with your data effectively, select the right statistical tools, and interpret your results accurately. By focusing on the key elements that often trip people up, this guide ensures you won't make the same mistakes.You'll also find visually engaging examples that simplify complex ideas, making them easier to understand. Whether you're just starting out or need a refresher, this book is designed to be accessible and helpful for everyone.Ready to master correlation analysis and get accurate results? Equip yourself with the knowledge and skills to confidently analyze your data. Grab your copy of "Beginner’s Guide to Correlation Analysis" today and start getting your correlations right!
Correlation Is Not Causation
**Correlation Is Not Causation: Learn How to Avoid the 5 Traps That Even Pros Fall Into**Ever heard someone confidently declare that because two things are correlated, one must cause the other? We've all been there. "Correlation Is Not Causation: Learn How to Avoid the 5 Traps That Even Pros Fall Into" is your friendly, chatty guide to understanding the nuances of correlation and causation, and how to avoid the common mistakes that even experts can make.**Benefits of this book:**- **Master the basics:** Learn why correlation doesn’t imply causation with simple, clear explanations.- **Identify common pitfalls:** Understand the five traps that can mislead you into thinking correlation equals causation.- **Develop critical thinking:** Enhance your ability to critically analyze data and avoid false conclusions.- **Easy to understand:** Written in plain English, perfect for beginners and those without a technical background.- **Visual examples:** Packed with intuitive, visual examples to make complex concepts easy to grasp.- **Practical strategies:** Get actionable strategies to correctly interpret data and identify true causal relationships.We often look for patterns and explanations in the world around us. When two things seem related, it's tempting to conclude that one causes the other. This book dives into the reasons why this assumption can be misleading and how to avoid falling into that trap.In "Correlation Is Not Causation," you'll discover the five alternatives to one variable being the direct cause of another when a correlation is found. We break down each alternative and show you how to systematically test for them, ensuring you understand the real relationship between variables.From formulating a plan to analyze data to interpreting results without falling into common pitfalls, this book provides a comprehensive yet accessible guide. With no statistical jargon, it's perfect for anyone looking to improve their data literacy.Ready to navigate the world of data with confidence? Equip yourself with the knowledge to discern true causal relationships and avoid misleading correlations. Get your copy of "Correlation Is Not Causation" today and start making smarter, data-driven decisions!
Multivariate Analysis – The Simplest Guide in the Universe
**Multivariate Analysis – The Simplest Guide in the Universe: A Holistic Strategy to Discover All the Relationships in Your Data**Unlock the secrets hidden within your data with "Multivariate Analysis – The Simplest Guide in the Universe." This book by award-winning statistician and author Lee Baker is your friendly, warm, and slightly technical guide to mastering multivariate analysis.**Why this book is your perfect companion:**- **Understand the basics:** Get a clear, straightforward introduction to the building blocks of multivariate analysis.- **Accurate results every time:** Learn why most multivariate results are wrong and how to get them right from the start.- **Holistic approach:** Discover a comprehensive method to uncover all the relationships in your data, ensuring a true and complete story.- **Practical insights:** Gain practical knowledge on choosing the right multivariate tests, interpreting results, and resolving discrepancies between univariate and multivariate findings.- **Plain English explanations:** Enjoy easy-to-understand content with no complex statistical jargon.- **Visual learning:** Benefit from visually intuitive examples that make complex concepts simple.- **Beginner-friendly:** Perfect for anyone new to statistics, with no prior experience required.In this guide, you'll find answers to crucial questions like why you should perform multivariate analysis, how to select the appropriate tests, and how to confidently interpret your results. Lee Baker’s holistic method ties together univariate and multivariate analyses into a single strategic framework, ensuring your findings are accurate and reliable.Whether you're a researcher, student, or data enthusiast, this book will empower you to critically evaluate the results of your analyses and those of others. Its approachable style and clear explanations make it accessible for readers from all backgrounds.Ready to dive into the world of multivariate analysis and reveal the true story behind your data? Get your copy of "Multivariate Analysis – The Simplest Guide in the Universe" today and start discovering the powerful relationships in your data!