Statistical Deception at Work

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A01=John Mauro
Author_John Mauro
Average Monthly Sales
Average Monthly Variation
base
Category=GTC
Category=JBCT
Category=KNTP2
Category=NH
causal inference
Coincidental Occurrence
Completion Ratio
Consumer Price Index
Convenient Numbers
critical reporting of statistics
data interpretation
Data Set
Devious
eq_bestseller
eq_business-finance-law
eq_history
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Favorite Comic Strip
Good Life
Hal Roach
inflation
Intelligent Appraisal
Leading Economic Indicators
Life Insurance Policy
List Bias
lottery
media numeracy
number
Pawn Brokers
percentage
Percentage Point
point
quantitative misinformation
questionnaire bias
rate
sampling
Sampling Tolerance
Sioux Falls
state
State Lotteries
Superb
survey methodology
Tax Withholding
Telephone Exchange
tolerance
True Odds
Tv Shopping

Product details

  • ISBN 9781138996496
  • Weight: 453g
  • Dimensions: 129 x 198mm
  • Publication Date: 19 Oct 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Written to reveal statistical deceptions often thrust upon unsuspecting journalists, this book views the use of numbers from a public perspective. Illustrating how the statistical naivete of journalists often nourishes quantitative misinformation, the author's intent is to make journalists more critical appraisers of numerical data so that in reporting them they do not deceive the public. The book frequently uses actual reported examples of misused statistical data reported by mass media and describes how journalists can avoid being taken in by them. Because reports of survey findings seldom give sufficient detail of methods on the actual questions asked, this book elaborates on questions reporters should ask about methodology and how to detect biased questions before reporting the findings to the public. As such, it may be looked upon as an "elements of style" for reporting statistics.

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