StandardDeviations - (EPUB全文下载)

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Copyright
This edition first published in hardcover in the United States and the United Kingdom in 2014 by Overlook Duckworth, Peter Mayer Publishers, Inc.
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For bulk and special sales, please contact sales@overlookny.com,or write us at the above address.
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Copyright © 2014 by Gary Smith
All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system now known or to be invented, without permission in writing from the publisher, except by a reviewer who wishes to quote brief passages in connection with a review written for inclusion in a magazine, newspaper, or broadcast.
ISBN: 978-1-4683-1068-9
CONTENTS
MORE ADVANCE PRAISE FOR STANDARD DEVIATIONS
COPYRIGHT
DEDICATION
INTRODUCTION
1. Patterns, Patterns, Patterns
2. Garbage In, Gospel Out
3. Apples and Prunes
4. Oops!
5. Graphical Gaffes
6. Common Nonsense
7. Confound It!
8. When You’re Hot, You’re Not
9. Regression
10. Even Steven
11. The Texas Sharpshooter
12. The Ultimate Procrastination
13. Serious Omissions
14. Flimsy Theories and Rotten Data
15. Don’t Confuse Me With Facts
16. Data Without Theory
17. Betting the Bank
18. Theory Without Data
19. When to Be Persuaded and When to Be Skeptical
SOURCES
INDEX
MORE ADVANCE PRAISE FOR STANDARD DEVIATIONS
“Gary Smith’s Standard Deviations is both a statement of principles for doing statistical inference correctly and a practical guide for interpreting the (supposedly) data-based inferences other people have drawn. Cleverly written and engaging to read, the book is full of concrete examples that make clear not just what Smith is saying but why it matters. Readers will discover that lots of what they thought they’d learned is wrong, and they’ll understand why.”
—BENJAMIN M. FRIEDMAN
William Joseph Maier Professorof Political Economy, Harvard University
“Standard Deviations shows in compelling fashion why humans are so susceptible to the misuse of statistical evidence and why this matters. I know of no other book that explains important concepts such as selection bias in such an entertaining and memorable manner.”
—RICHARD J. MURNANE
Thompson Professor of Education and Society,Harvard Graduate School of Education
“We all learn in school that there are three kinds ............

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