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Re: 1 million random predictions |
Amit, sorry I didn't label the graph. I meant to describe what it was showing and forgot. X access is number of successful predictions, ranging from 0 to 212, out of the 212 random predictions. Y access is how many runs resulted in X number of hits. The value is x1000. The result is the classic bell curve, a "normal distribution" or "Gaussian" to use proper statistics parlance. http://en.wikipedia.org/wiki/Normal_distribution As you can see, the curve peaks at 65. This means that if you get 65 predictions out of 212 right, you are doing equal to chance. To do better than chance, you need to get more than 65 right. So far the testing that Roger and I have done put you at 63. I hope this helps you understand. Brian Follow Ups: ● Re: 1 million random predictions - Roger Hunter 12:36:29 - 11/3/2013 (101276) (1) ● Re: 1 million random predictions - Skywise 15:26:55 - 11/3/2013 (101283) (1) ● Re: 1 million random predictions - Roger Hunter 17:38:50 - 11/3/2013 (101288) (1) ● Re: 1 million random predictions - Skywise 17:58:41 - 11/3/2013 (101291) (0) ● Re: 1 million random predictions - EQF 04:39:24 - 11/3/2013 (101273) (1) ● Re: 1 million random predictions - Roger Hunter 21:44:26 - 11/3/2013 (101296) (1) ● Re: 1 million random predictions - EQF 00:42:00 - 11/5/2013 (101312) (1) ● Re: 1 million random predictions - Roger Hunter 09:28:02 - 11/5/2013 (101319) (1) ● Re: 1 million random predictions - EQF 00:34:29 - 11/7/2013 (101333) (0) |
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