Setting an Optimal α That Minimizes Errors in Null Hypothesis Significance Tests
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Setting an Optimal α That Minimizes Errors in Null Hypothesis Significance Tests
Null hypothesis significance testing has been under attack in recent years, partly owing to the arbitrary nature of setting α (the decision-making threshold and probability of Type I error) at a constant value, usually 0.05. If the goal of null hypothesis testing is to present conclusions in which we have the highest possible confidence, then the only logical decision-making threshold is the va...
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3 Arrigo, K.R. et al. (1998) Primary production in Southern Ocean waters. J. Geophys. Res. 103, 15587–15600 4 Karnovsky, N. et al. (2007) The impact and importance of production in polynyas to top-trophic predators: three case histories. In Polynyas (Smith, W.O., Jr,, and Barber, D.G., eds), pp. 391–410, Elsevier 5 Smith, W.O., Jr and Nelson, D.M. (1985) Phytoplankton bloom produced by a recedi...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2012
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0032734