Statistics - Wikipedia, the free encyclopedia
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Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data, while others consider it to be a branch of mathematics concerned ...
en.wikipedia.org/wiki/Statistics
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"Significance level" is a misleading term that many researchers do not fully understand. This article may help you understand the concept of statistical significance and the meaning of the numbers produced by The Survey System.
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www.surveysystem.com/signif.htm
www.surveysystem.com/signif.htm
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The second article summarizes a Powerpoint slide show I have been using for a seminar with the title Statistical vs Clinical or Practical Significance, in which I explain hypothesis testing, P values, statistical significance, confidence limits, probabilities of clinical significance, a qualitative scale for...
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sportsci.org/resource/stats/pvalues.html
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Purpose-The purpose of this poster session is to explain the advantages and disadvantages of statistical significance testing in the context of analyzing ...
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www.ccitonline.org/jking/homepage/Signif_poster.doc
www.ccitonline.org/jking/homepage/Signif_poster.doc
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The purpose of this article is to explain how statistics can be helpful and also how they can sometimes be misleading, unless you know their strengths and limitations. ... When the phrase "statistical significance" is used, it means the difference is not likely to be due to chance.
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www.health.state.ny.us/environmental/investigations/lov...
www.health.state.ny.us/environmental/investigations/love_canal/power.htm
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As a cancer patient, the phrase, "statistical significance" is certainly not one of the first things you are likely to think about. It's probably not ... In sum, you need to look carefully at the study design to see if it is possible that something other than treatment differences might explain the difference in results.
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www.cancerguide.org/significance.html
www.cancerguide.org/significance.html
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Too few researchers understand what statistical significance testing does and doesn't do, and consequently their results are misinterpreted. Even more commonly, researchers understand elements of statistical significance testing, but the concept is not integrated into their research.
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ericae.net/edo/ED366654.htm
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How the "level of statistical significance" is calculated ... What is "statistical significance" (p-value) ... Statistical significance and the number of analyses performed...
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www.statsoft.com/textbook/stathome.html
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In short, Kanazawa’s findings are not statistically significant, and the patterns in his analysis could well have occurred by chance (Gelman, 2007a). Had the lack of statistical significance been noticed in the review process, ... Evolutionary psychology could be used to explain a result in the opposite direction,
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www.stat.columbia.edu/~gelman/research/unpublished/powe...
www.stat.columbia.edu/~gelman/research/unpublished/power.pdf
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