Fallacies of Statistical Significance
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2017-11-01
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Abstract
Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular tools in statistical data analysis. Unfortunately, the practical implications of statistical significance often turn out to be limited and are frequently misinterpreted and overstated, or even stated incorrectly.
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This article is published as Doganaksoy, N., Hahn, G.J., and Meeker, W.Q., (2017), Fallacies of Statistical Significance, Quality Progress, 50, December, 56–62. Posted with permission.
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Sun Jan 01 00:00:00 UTC 2017