Continuous Distributions

• To: mathgroup at smc.vnet.net
• Subject: [mg49917] Continuous Distributions
• From: "Dr. Wolfgang Hintze" <weh at snafu.de>
• Date: Thu, 5 Aug 2004 12:48:32 -0400 (EDT)
• Sender: owner-wri-mathgroup at wolfram.com

```Sean,

there seems to be a slight misunderstanding in the usage of Continuous
Distributions (see Help Brwoser for details and examples).

Here is how it works fine:

In[1]:=
Needs["Statistics`ContinuousDistributions`"]

Assign normal distribution to l1

In[2]:=
l1 = NormalDistribution[50000, 25000];

Caculate main parameters

In[3]:=
Variance[l1] // N
StandardDeviation[l1] // N

Out[3]=
\!\(6.25`*^8\)

Out[4]=
25000.

Create list of 1000 random values from that distribution l1

In[5]:=
ra = RandomArray[l1, 1000];

Check graphically

In[6]:=
ListPlot[ra];

Hope this helps.
Regards,
Wolfgang

sean kim wrote:

> hello group.
>
> I looked at the help browser but i can't figure this out. I weant to
> make a list of random numbers sampled from a normal distribution
>
> In[90]:= Needs["Statistics`ContinuousDistributions`"]
>
> l1 = Table[Random[NormalDistribution[50000,25000], Integer, {10000,
> 99999}], {1000}];
>
> Variance[l1]//N
> StandardDeviation[l1]//N
>
>
> From In[90]:=
> Random::"randt":
> Type specification NormalDistribution[50000, 25000] in
> <<1>> should be Real, Integer, or Complex.
>
> Out[92]=
> 0.
> Out[93]=
> 0.
>
> thanks in advance for any insights
>
> sean
>
>

```

• Prev by Date: Re: populate a list with random numbers from normal distribution?
• Next by Date: Re: Problem with eval. of neg. cube root of neg. #
• Previous by thread: Question using Mathematica for symbolic combinatorial equalities and inequalities.
• Next by thread: Re: Why overloaded arithmetic operations are so slow?