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(50g) Normal Distribution
12-03-2018, 09:53 PM
Post: #4
RE: (50g) Normal Distribution
(12-03-2018 07:05 PM)Dieter Wrote:  A better method that returns accurate results is this one (in pseudocode – you will know how to do this on the 50g):

Code:
p = UPTN(abs(x))
if x>0 then p = 1-p
return p

Is it simpler just do this ? P(x) = Q(-x)
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Messages In This Thread
(50g) Normal Distribution - John Keith - 12-03-2018, 04:20 PM
RE: (50g) Normal Distribution - Dieter - 12-03-2018, 07:05 PM
RE: (50g) Normal Distribution - John Keith - 12-03-2018, 08:45 PM
RE: (50g) Normal Distribution - Albert Chan - 12-03-2018 09:53 PM
RE: (50g) Normal Distribution - Dieter - 12-03-2018, 10:18 PM
RE: (50g) Normal Distribution - John Keith - 12-03-2018, 10:59 PM
RE: (50g) Normal Distribution - John Keith - 12-04-2018, 08:54 PM
RE: (50g) Normal Distribution - Dieter - 12-04-2018, 09:48 PM
RE: (50g) Normal Distribution - Dieter - 12-05-2018, 08:49 PM
RE: (50g) Normal Distribution - John Keith - 12-06-2018, 02:58 PM
RE: (50g) Normal Distribution - Dieter - 12-06-2018, 11:08 PM
RE: (50g) Normal Distribution - John Keith - 12-07-2018, 11:21 PM
RE: (50g) Normal Distribution - Dieter - 12-06-2018, 10:54 PM
RE: (50g) Normal Distribution - John Keith - 12-08-2018, 07:13 PM
RE: (50g) Normal Distribution - Dieter - 12-08-2018, 09:18 PM
RE: (50g) Normal Distribution - John Keith - 12-08-2018, 09:28 PM
RE: (50g) Normal Distribution - John Keith - 01-26-2019, 10:01 PM
RE: (50g) Normal Distribution - pier4r - 01-26-2019, 10:12 PM



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