Talk:Random numbers: Difference between revisions
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The numbers generated will also not have the correct mean and standard deviation. The expected value of the Java example, for instance, will be 1.25 instead of 1. The standard deviation will be .144 instead of 0.5. |
The numbers generated will also not have the correct mean and standard deviation. The expected value of the Java example, for instance, will be 1.25 instead of 1. The standard deviation will be .144 instead of 0.5. |
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For an example of |
For an example of an algorithm, check out http://en.wikipedia.org/wiki/Normal_distribution#Generating_values_for_normal_random_variables |
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--[[User:Nachtrabe|Nachtrabe]] 13:53, 31 May 2007 (EDT) |
--[[User:Nachtrabe|Nachtrabe]] 13:53, 31 May 2007 (EDT) |
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Revision as of 17:55, 31 May 2007
sorry for editing without logging in - that was me all along...Sgeier 00:57, 7 April 2007 (EDT)
Normal Distribution
The Java and IDL examples do not appear to create normally distributed numbers, just uniformly distributed numbers over a given range (1 to 1.5 in the Java case).
The numbers generated will also not have the correct mean and standard deviation. The expected value of the Java example, for instance, will be 1.25 instead of 1. The standard deviation will be .144 instead of 0.5.
For an example of an algorithm, check out http://en.wikipedia.org/wiki/Normal_distribution#Generating_values_for_normal_random_variables
--Nachtrabe 13:53, 31 May 2007 (EDT)