Re: [Phys-l] J.D. uncertainty

[Bill Nettles <bnettles@uu.edu>]

With Mathematica it's certainly very easy to do the Monte Carlo approach:

a = RandomReal[NormalDistribution[2, 1], 10000];
b = RandomReal[NormalDistribution[3.12, 0.05], 10000];
c = a*b;
Mean[c]
StandardDeviation[c]
Histogram[a]
Histogram[b]
Histogram[c]

It's very interesting, also, to use RandomInteger[PoissonDistribution[...put your mean here...],10000] for a and b and see what happens.

> -----Original Message-----
> From: phys-l-bounces@carnot.physics.buffalo.edu [mailto:phys-l-
> bounces@carnot.physics.buffalo.edu] On Behalf Of Paul Lulai
> Sent: Monday, August 22, 2011 6:05 AM
> To: plulai@stanthony.k12.mn.us; phys-l@carnot.physics.buffalo.edu
> Subject: Re: [Phys-l] J.D. uncertainty
>
>
> Forgot the link...
>  http://m.wired.com/wiredscience/2011/08/measurement-and-uncertainty-
> smackdown/
>
>
> Paul Lulai
> Physics Teacher
> St Anthony Village Senior High
> 3303 33rd Ave
> St Anthony Village MN 55418
>
> (w) 612-706-1146
>
>
>
>
> ----- Reply message -----
> From: "Paul Lulai" <plulai@stanthony.k12.mn.us>
> Date: Mon, Aug 22, 2011 11:17 am
> Subject: [Phys-l] J.D. uncertainty
> To: "phys-l@carnot.physics.buffalo.edu" <phys-
> l@carnot.physics.buffalo.edu>
>
>
> A quick note...
> John's uncertainty page has been mentioned on Twitter and is discussed
> on this /wired/ blog.
>
> Paul Lulai
> Physics Teacher
> St Anthony Village Senior High
> 3303 33rd Ave
> St Anthony Village MN 55418
>
> (w) 612-706-1146
>
>
>
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