소장자료
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010 | ▼a2014017052▲ | ||
020 | ▼a9781468309201 (hardback)▲ | ||
020 | ▼a146830920X (hardback)▲ | ||
020 | ▼a9781468311020 (pbk.)▲ | ||
035 | ▼a(KERIS)REF000017745925▲ | ||
040 | ▼aDLC▼beng▼cDLC▼dDLC▲ | ||
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100 | 1 | ▼aSmith, Gary,▼d1945-▲ | |
245 | 1 | 0 | ▼aStandard deviations :▼bflawed assumptions, tortured data, and other ways to lie with statistics /▼cGary Smith.▲ |
260 | ▼aNew York :▼bOverlook Duckworth,▼c2014.▲ | ||
300 | ▼a326 p. :▼bill. ;▼c24 cm.▲ | ||
504 | ▼aIncludes bibliographical references (p. 299-319) and index.▲ | ||
505 | 0 | 0 | ▼tPatterns, patterns, patterns --▼tGarbage in, gospel out --▼tApples and prunes --▼tOops! --▼tGraphical gaffes --▼tCommon nonsense --▼tConfound it! --▼tWhen you're hot, you're not --▼tRegression --▼tEven Steven --▼tThe Texas sharpshooter --▼tThe ultimate procrastination --▼tSerious omissions --▼tFlimsy theories and rotten data --▼tDon't confuse me with facts --▼tData without theory --▼tBetting the bank --▼tTheory without data --▼tWhen to be persuaded and when to be skeptical.▲ |
520 | ▼a"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"--▼cProvided by publisher.▲ | ||
520 | ▼a"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but two cups a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"--▼cProvided by publisher.▲ | ||
650 | 0 | ▼aStandard deviations.▲ | |
999 | ▼a김진영▼c김정이▲ |
Standard deviations :flawed assumptions, tortured data, and other ways to lie with statistics
자료유형
국외단행본
서명/책임사항
Standard deviations : flawed assumptions, tortured data, and other ways to lie with statistics / Gary Smith.
개인저자
발행사항
New York : Overlook Duckworth , 2014.
형태사항
326 p. : ill. ; 24 cm.
서지주기
Includes bibliographical references (p. 299-319) and index.
내용주기
Patterns, patterns, patterns -- Garbage in, gospel out -- Apples and prunes -- Oops! -- Graphical gaffes -- Common nonsense -- Confound it! -- When you're hot, you're not -- Regression -- Even Steven -- The Texas sharpshooter -- The ultimate procrastination -- Serious omissions -- Flimsy theories and rotten data -- Don't confuse me with facts -- Data without theory -- Betting the bank -- Theory without data -- When to be persuaded and when to be skeptical.
요약주기
"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"-- Provided by publisher./"Did you know that baseball players whose names begin with the letter "D" are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but two cups a day increases the risk of pancreatic cancer? All of these "facts" have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. With the breakout success of Nate Silver's The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around"-- Provided by publisher./
ISBN
9781468309201 (hardback) 146830920X (hardback) 9781468311020 (pbk.)
청구기호
519.5 S648s
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