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In hypothesis testing, the significance level is the criterion used for rejecting the null hypothesis. The significance level is used in hypothesis testing as follows: First, the difference between the results of the experiment and the null hypothesis is determined.
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davidmlane.com/hyperstat/A72117.html
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Another interpretation of the significance level , based in decision theory, is that corresponds to the value for which one chooses to reject or accept the null hypothesis H0. In the above example, the value 0.0082 would result in rejection of the null hypothesis at the 0.01 level.
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www.stat.yale.edu/Courses/1997-98/101/sigtest.htm
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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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level of significance n. , pl. , levels of significance . The probability of a false rejection of the null hypothesis in a statistical test ... The probability of a false rejection of the null hypothesis in a statistical test. Also called significance level.
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www.answers.com/topic/statistical-significance
www.answers.com/topic/statistical-significance
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Slide 12 of 15...
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www.montclair.edu/pages/hpperls/juniu/pe579/infer/sld01...
www.montclair.edu/pages/hpperls/juniu/pe579/infer/sld012.htm
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1301-1 significance level of the test is:; ... 1657-2 A small significance level indicates that the hypothesis; ... 1688-1 The significance level is computed under the assumption that;
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www.gsu.edu/~dscbms/ibs/hypot.html
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The basic question, in such cases, is how to control the overall significance level for the trial. We describe and compare two methods for testing primary and secondary endpoints, accounting for their hierarchical nature-the ordering preference.
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www.ncbi.nlm.nih.gov/pubmed/10913807
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That some finding has ‘statistical significance’ is that at a given significance level, for example, 0.05, the finding is likely to have arisen by chance in only five cases out of one hundred, that is, the chances are small that a difference between two groups of subjects in an experiment is due to sampling error.
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www.google.com/notebook/public/09859336497580798442/BDQ...
www.google.com/notebook/public/09859336497580798442/BDQqRIwoQmdOll5Aj
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