Author: Douglas Lind Edition: 15 Publisher: McGraw-Hill/Irwin Binding: Hardcover ISBN: 0073401803 Price: You Save: 0%
Statistical Techniques in Business and Economics (Mcgraw-Hill/Irwin Series Operations and Decision Sciences)
Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format.Statistical Techniques in Business and Economics review. Read full reviews of Statistical Techniques in Business and Economics.
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Statistical Techniques in Business & Economics with Connect Plus
"Statistical Techniques in Business and Economics (15th Edition), ISBN-13: 9780073401805, ISBN-10: 0073401803 by Douglas Lind, Samuel Wathen, W. "
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*** condition: 100% brand new ***statistical techniques in business and economics, 13th edition condition: 100% brand newauthor: douglas a. lind, william g. marchal, samuel a. wathen edition: 13 international publisher: mcgraw-hill/irwin international pub. date: october 19, 2006 cove
Statistical Techniques in Business and Economics Reviews
The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student’s text,” Lind’s supporting pedagogy includes self reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. The new 15th edition puts more emphasis on the interpretation of data and results and supports Lind’s student-centric, step-by-step approach with McGraw-Hill’s industry leading online assessment resource Connect Business Statistics.
Author: Stephen T. Ziliak Edition: Publisher: University of Michigan Press Binding: Paperback ISBN: 0472050079 Price: You Save: 41%
The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition, and Society)
“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted.The Cult of Statistical Significance review. If it takes a book to get it across, I hope this book will do it. It ought to.”
—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics
“With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysisRead full reviews of the cult of statistical significance: how the standard error costs us jobs, just.
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Buy The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives by Deirdre Nansen McCloskey,Steve Ziliak and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
author deirdre n mccloskey author stephen thomas ziliak format paperback language english publication year 15 04 2008 series economics cognition society s subject mathematics sciences subject 2 mathematics themonsterbookshop co uk in titles description add my store to your favorites and receive my email newsletters about new items and special promotions general interest the cult of statistical significance how the standard error costs us jobs justice and lives economics cognition society item de
The Cult of Statistical Significance : Paperback : The University of Michigan Press : 9780472050079 : 0472050079 : 15 Apr 2008 : "McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to."--Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics "With humor, insight, piercing logic and a nod
McCloskey and Ziliak have been pushing this very elementary very correct very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across I hope this book will do it. It ought to. -Thomas Schelling Distinguished University Professor School of Public Policy University of Maryland and 2005 Nobel Prize Laureate in Economics With humor insight piercing logic and a nod to history Ziliak and McCloskey show how economists-and other scientists-suffer from a mass delusion about statistical analysis. The quest f
McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to. -Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists-and other scientists-suffer from a mass delusion about statistical analysis. T
If it takes a book to get it across, I hope this book will do it. It ought to.”
—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics
“With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”
—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health
The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots.
Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).
