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GCSE Statistics Revision
GCSE Statistics Revision

... The list of names in a telephone directory. ...
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... The mean birth weight was 3.627(3.428;3.825) kg among nonsmokers compared to 3.174(2.907;3.442) kg among heavy smokers. The difference 452(138;767)g was statistically significant (p=0.06%). Conclusion: Children born by heavy-smokers have a birth weight, that is statistically significantly smaller, t ...
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... Statistics I is the first of two introductory courses in Statistics. This course will provide students with an introductory survey of the many applications of Descriptive Statistics, presenting the basis for Inferential Statistics that will be covered in Statistics II. The Applications of the statis ...
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< 1 ... 61 62 63 64 65 66 67 68 69 ... 285 >

Misuse of statistics

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.
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