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by leeber
4228 days ago
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Guys, we're programmers here not statisticians: def test(): ... n1 = numpy.average(numpy.random.normal(100,15,52)) ... n2 = numpy.average(numpy.random.normal(100,15,40)) ... return abs(n1-n2) / ((n1+n2)/2.0) ... >>> vals = [test() for i in xrange(0,1000)] >>> numOver10 = len([v for v in vals if v > .1]) >>> numOver10 2 |
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Ah, I see. Standard IQ normalizations.