Author: Roy Eassa
Date: 13:18:10 06/04/02
Go up one level in this thread
On June 04, 2002 at 16:08:25, Dann Corbit wrote: >On June 04, 2002 at 16:06:55, Roy Eassa wrote: > >>On June 04, 2002 at 14:58:49, Dann Corbit wrote: >> >>>On June 04, 2002 at 14:13:43, Rolf Tueschen wrote: >>> >>>>I just saw your article. Could you add your opinion about how SSDF actually has >>>>shown that computer strength is on a normal distribution? For weeks now or >>>>better years I say it is not. It's a pity, but without that explanation you >>>>invested so much precious time for nothing! I will answer in detail after your >>>>explanation. >>> >>>SELECT int(rating/100), count([Rating]/100) >>>FROM SSDF >>>GROUP BY int([Rating]/100); >>> >>>Expr1000 Expr1001 >>>14 2 >>>15 12 >>>16 12 >>>17 23 >>>18 21 >>>19 22 >>>20 17 >>>21 25 >>>22 23 >>>23 18 >>>24 20 >>>25 18 >>>26 15 >>>27 5 >>> >>>Happy explaining. >> >> >>Just an observation: that's no bell curve. > >It's a pedagogic example of a platykurtotic bell curve. OK, that sent me scurrying to a search engine. "Kurtosis: A measure of the extent to which observed data fall near the center of a distribution or in the tails. A kurtosis value less than that of a standard, normal distribution indicates a distribution with a fat midrange on either side of the mean and a low peak-a platykurtotic distribution. A kurtosis value greater than that of a normal distribution indicates a high peak, a thin midrange, and fat tails. The latter, a leptokurtotic distribution, is common in observed price, rate, and return time series data." Does this mean it still IS a normal distribution? (It has 2 fairly large peaks and one smaller one, from what I can tell.) I also found this: "The standard normal density has the familiar shape of the Bell Curve." Which is what I had been thinking when I posted the comment about this not being a bell curve.
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