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 fool rather than to inform.

    Chapters cover cancer, infection, immune disorders, genetics, and disorders of each body system, highlighting pathophysiologic processes, resulting signs and symptoms, diagnostic test findings, and current treatments. Reader-friendly features include illustrations, checklists, and full-color miniguides illustrating the pathophysiology of specific disorders.This edition has new full-color miniguides on cancer pathophysiology and neuropathology. A new Focus on Genetics feature identifies gene-related discoveries and their implications for treatment or diagnosis. Review questions and answers follow current NCLEX-RN® requirements and alternate-format questions are included.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    This manual is aimed at everyone who works on interactive products in a design and development environment. It contains all of the basic information required for getting started with the project management method Scrum, but also offers a number of in-depth chapters looking at topics which even the most experienced Scrummers have trouble with on a daily basis. If you are experienced, you will find the advanced tips and tricks useful. If you are just considering Scrum, this book will most certainly get you enthusiastic.

    We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

    It’s a practical way to improve your life every day by making a simple 2 second improvement. Join author, business expert, radio show host, and international speaker, Paul A. Akers, as he takes you on a LEAN journey that will transform every aspect your life... from your home to the office. “Ten years ago I began my Lean journey. I had never even heard the word before, but what happened was nothing short of astounding. Lean thinking has propelled my business from a small operation in my garage into an international, multi-million dollar enterprise. Welcome to my world of Extreme Lean thinking. Once you have experienced the vast benefits of Lean, you will crave it, want it, and do anything to get it. Lean thinking has made an enormous difference in my life – personally and professionally.”“This book is not intended for MBAs or those interested in manufacturing theory or flow charts. This book is intended to blast open the door of opportunity for people who want to improve their daily life, be it in their workplace or home. Lean is not as complicatedas all the experts and textbooks make it out to be. In fact, as you learn to incorporate a Lean approach to your life, you will see that the more Lean thinking you have in your life, the more you will enjoy life.” ~ Paul A. AkersRead this book and be inspired by how easy and fun it can be. No flow charts or graphs – just the real life journey of one company and the astounding results Lean thinking can produce. Take a few hours, read 2 Second Lean and change your life!

    Meetings are a crucial part of all our lives, but too often they go nowhere and waste valuable time. In Six Thinking Hats, Edward de Bono shows how meetings can be transformed to produce quick, decisive results every time. The Six Hats method is a devastatingly simple technique based on the brain's different modes of thinking. The intelligence, experience and information of everyone is harnessed to reach the right conclusions quickly. These principles fundamentally change the way you work and interact. They have been adopted by businesses and governments around the world to end conflict and confusion in favour of harmony and productivity. 'An inspiring man with brilliant ideas. De Bono never ceases to amaze with his clarity of thought' Richard Branson.Edward de Bono invented the concept of lateral thinking. A world-renowned writer and philosopher, he is the leading authority in the field of creative thinking and the direct teaching of thinking as a skill. Dr de Bono has written more than 60 books, in 40 languages, with people now teaching his methods worldwide. He has chaired a special summit of Nobel Prize laureates, and been hailed as one of the 250 people who have contributed most to mankind

    Using illustrative examples, case studies, and exercises, the author, one of the most important and well known in his field, offers his legendary warmth and insight throughout this much-awaited second edition. Anyone who must communicate in a professional context--and who doesn't?--will use the lessons taught in this book for years to come! "Who would have thought the 'consultant's bible' could be improved upon? Count on Peter Block--the consulting profession's very own revolutionary--to push us to confront and struggle with the paradoxes inherent in our work." --Candace Thompson, organization development consultant, First Chicago NBD--A Bank One Company "Block has distilled years of experience into a wise, down-to-earth, and eminently practical guide to excellence in consulting. If you are new to the practice, Flawless Consulting will chop years off your learning cycle. And even if you're an old pro, Block's insights will elevate you to new levels of effectiveness. Flawless Consulting is not simply about becoming a better consultant; it is about using consulting as a path toward becoming a better person." --Barry Oshry, president, Power & Systems, Inc.; author of Seeing Systems and Leading Systems

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    

    The book focuses on the concepts of statistics with applications to the functional areas of business. It is rich in applications from accounting, finance, marketing, management and economics, covering data collection, tables and charts, probability, estimation, and more. For professionals, particularly managers, making financial analyses and decisions.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

    People can use economics and they can use statistics and numbers to get at the truth and there is a real appetite for doing so. This is such a BBC thing to say--there’s almost a public service mission to be fulfilled in educating people about economics. When I wrote The Undercover Economist, it was all about my pure enthusiasm for the subject; the book is full of stuff I wanted to say and that is always the thing with the books: they are always such fun to write. Do you think that people these days are generally more economically literate? People are now aware of economics for various reasons. There are the problems with the economy--there is always more interest in economics when it is all going wrong. Where is the border line in your new book between economics and sociology? I don’t draw a border line, and particularly not with the new book. The Undercover Economist was basically all the cool economics I could think of and The Logic of Life was me investigating a particular part of economics. All of the references in The Logic of Life were academic economics papers that I had related--and hopefully made more fun. This new book, Adapt, is very different. I have started by asking what is wrong with the world, what needs fixing, how does it work--and if economics can tell us something about that (which it can) then I have used it. And if economics is not the tool that you need--if you need to turn to sociology or engineering or biology or psychology--I have, in fact, turned to all of them in this book. If that’s what you need, then that’s where I have gone. So I have written this book in a different way: I started with a problem and tried to figure out how to solve it. What specific subjects do you tackle? To be a bit more specific, the book is about how difficult problems get solved and I look at quick change; the banking crisis; poverty; innovation, as I think there is an innovation slow-down; and the war in Iraq. Also, I look at both problems in business and in everyday life. Those are the big problems that I look at--and my conclusion is that these sorts of problems only ever get solved by trial and error, so when they are being solved, they are being solved through experimentation, which is often a bottom-up process. When they are not being solved it is because we are not willing to experiment, or to use trial and error. Do you think companies will change to be much more experimental, with more decisions placed in the hands of employees? I don’t think that is necessarily a trend, and the reason is that the market itself is highly experimental, so if your company isn’t experimental it may just happen to have a really great, successful idea--and that’s fine; if it doesn’t, it will go bankrupt. But that said, it is very interesting to look at the range of companies who have got very into experimentation--they range from the key-cutting chain Timpson’s to Google; you can’t get more different than those two firms, but actually the language is very similar; the recruitment policies are similar; the way the employees get paid is similar. The “strap line” of the book is that “Success always starts with failure.” You are a successful author… so what was the failure that set you up for success? I was working on a book before The Undercover Economist… it was going to be a sort of Adrian Mole/Bridget Jones’ Diary-styled fictional comedy, in which the hero was this economist and through the hilarious things that happened to him, all these economic principles would be explained--which is a great idea--but the trouble is that I am not actually funny. Another example would be my first job as a management consultant… and I was a terrible management consultant. I crashed out after a few months. Much better that, than to stick with the job for two or three years-- a lot of people say you have got to do that to “show your commitment.” Taking the job was a mistake--why would I need to show my commitment to a mistake? Better to realise you made a mistake, stop and do something else, which I did. That idea that “failure breeds success” is central to most entrepreneurs. Do you think we need more of it in the UK? I think that the real problem is not failure rates in business; the problem is failure rates in politics. We need a much higher failure rate in politics. What actually happens is politicians--and this is true of all political parties--have got some project and they’ll say, “Right, we are going to do this thing,” and it is quite likely that idea is a bad idea--because most ideas fail; the world is complicated and while I don’t have the numbers for this, most ideas are, as it turns out, not good ideas. But they never collect the data, or whatever it is they need to measure, to find out where their idea is failing. So they have this bad idea, roll this bad idea out and the bad idea sticks, costs the country hundreds, millions, or billions of pounds, and then the bad idea is finally reversed by the next party on purely ideological grounds and you never find out whether it really worked or not. So we have this very, very low willingness to collect the data that would be necessary to demonstrate failure, which is the bit we actually need. To give a brief example: Ken Livingstone, as Mayor of London, came along and introduced these long, bendy buses. Boris Johnson came along and said, “If you elect me, I am going to get rid of those big bendy buses and replace them with double-decker buses.” He was elected and he did it, so… which one of them is right? I don’t know. I mean, isn’t that crazy? I know democracy is a wonderful thing and we voted for Ken Livingstone and we voted for Boris Johnson, but it would be nice to actually have the data on passenger injury rates, how quickly people can get on and off these buses, whether disabled people are using these buses… the sort of basic evidence you would want to collect. Based on that, are you a supporter of David Cameron’s “Big Society”, which in a sense favours local experimentation over central government planning? Well, I have some sympathy for the idea of local experimentation, but what worries me is that we have to have some mechanism that is going to tell you what is working and what is not--and there is no proposal for that. Cameron’s Tories seem to have the view that ‘if it is local then it will work.’ In my book, I have all kinds of interesting case studies of situations where localism really would have worked incredibly well, as in, say, the US Army in Iraq. But I have also got examples of where localism did not work well at all--such as a corruption-fighting drive in Indonesia. Is the new book, Adapt, your movement away from economic rationalist to management guru? Are you going to cast your eye over bigger problems? The two changes in Adapt are that I have tried to start with the problem, rather than saying, “I have got a hammer--I’m going to look for a nail.” I started with a nail and said, “Ok, look, I need to get this hammered in.” So I have started with the problem and then looked anywhere for solutions. And the second thing is that I have tried to do is write with more of a narrative. This is not a Malcolm Gladwell book, but I really admire the way that people like Gladwell get quite complex ideas across because they get you interested in the story; that is something that I have tried to do more of here. I am not too worried about it, because I know that I am never going to turn into Malcolm Gladwell--I am always going to be Tim Harford--but it doesn’t hurt to nudge in a certain direction. On Amazon, we recommend new book ideas to people: “If you like Tim Harford you may like…”, but what does Tim Harford also like? I read a lot of books, mostly non-fiction and in two categories: people who I think write a lot better than I do, and people who think about economics more deeply than I do. In the first category I am reading people like Michael Lewis, Kathryn Schulz (I loved her first book, Being Wrong), Malcolm Gladwell and Alain de Botton. In the second category, I read lots of technical economics books, but I enjoy Steven Landsburg, Edward Glaeser (who has a book out now which looks good), Bill Easterly… I don’t necessarily agree with all of these people! When I am not reading non-fiction, I am reading comic books or 1980s fantasy authors like Jack Vance.

    Tech companies in general lack the experience, tools, texts, and frameworks to do it well. And the handful of books that share tips and tricks of engineering management don t explain how to supervise employees in the face of growth and change.In this book, author Camille Fournier takes you through the stages of technical management, from mentoring interns to working with the senior staff. You ll get actionable advice for approaching various obstacles in your path, whether you re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization. * Discover how to manage small teams and large/multi-level teams * Understand how to build and bootstrap a unifying culture in teams * Deal with people problems and learn how to mentor other managers and new leaders * Learn how to manage yourself: avoid common pitfalls that challenge many leaders * Obtain several practices that you can incorporate and practice along the way