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- Q2033252 subject Q7323799.
- Q2033252 subject Q8425088.
- Q2033252 subject Q8585527.
- Q2033252 abstract "Statistics are supposed to make something easier to understand but 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. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.".
- Q2033252 wikiPageExternalLink oldberg.htm.
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- Q2033252 wikiPageExternalLink Review%20Of%20Reliability%20And%20Factors%20Affecting%20The%20Reliability%20.pdf.
- Q2033252 wikiPageExternalLink EJGM-00166.pdf.
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- Q2033252 wikiPageWikiLink Q8425088.
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- Q2033252 wikiPageWikiLink Q8585527.
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- Q2033252 comment "Statistics are supposed to make something easier to understand but 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.".
- Q2033252 label "Misuse of statistics".