Computers and statistical software packages have increased the complexity with which data can be analyzed and, consequently, the use of statistics in medical research has also increased. Unfortunately, though the types of errors may have changed, the frequency of statistical misuse has not (9, 10).
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.
A great deal has been written about the misuse of statistics by pressure groups and politicians, by pollsters and advertising campaigns, by the broadcast media (newspapers, magazines, television, and now the Internet), and even misuse by statisticians and scientists.
A misuse of statistics is a pattern of unsound statistical analysis. They are variously related to data quality, statistical methods and interpretations. Statistics are occasionally misused to persuade, influence and sell. Misuse can also result from mistakes of analysis that result in poor decisions and failed strategies.
misuse and abuse of statistics Intelligence: misuse and abuse of statistics is one in a series of documents showing how to apply empiric reasoning to social and psychological problems .
Remember, misuse of statistics can be accidental or purposeful. While a malicious intent to blur lines with misleading statistics will surely magnify bias, intent is not necessary to create misunderstandings. The misuse of statistics is a much broader problem that now permeates through multiple industries and fields of study.
"The Use — and Misuse — of Statistics: How and Why Numbers Are So Easily Manipulated." Knowledge@Wharton. The Wharton School, University of Pennsylvania, 02 April, 2008. Web. 23 February, 2020 ...
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Mathematician Rebecca Goldin spoke to members of the Mathematics Association of America about the media's "use and abuse" of statistics. She said "bad science" is often to blame.