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Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
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Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods used to collect the data, the estimator chosen, and the methods used to analyze the data. Data analysts can take various measures at each stage of the process to reduce the impact of statistical bias in their ...
Misleading graphs are often used in false advertising. One of the first authors to write about misleading graphs was Darrell Huff , publisher of the 1954 book How to Lie with Statistics . The field of data visualization describes ways to present information that avoids creating misleading graphs.
For example, Dennis Lindely argues for the more general analysis of statistics as the study of uncertainty. [1] The subject involves the meaning, justification, utility, use and abuse of statistics and its methodology, and ethical and epistemological issues involved in the consideration of choice and interpretation of data and methods of ...
A HuffPost investigation into resettlement abuses associated with World Bank-financed projects. ... Match summaries and player statistics, updated in real-time during ...
The origin of the phrase "Lies, damned lies, and statistics" is unclear, but Mark Twain attributed it to Benjamin Disraeli [1] "Lies, damned lies, and statistics" is a phrase describing the persuasive power of statistics to bolster weak arguments, "one of the best, and best-known" critiques of applied statistics. [2]
Match summaries and player statistics, updated in real-time during the World Cup 03/14 March Madness Predict-o-Tron Probabilistic bracket generator for the 2014 Men's NCAA basketball tournament