On 29 Jun, 10:20, Verbal Kint <TENSOAP...@gmail.comwrote:

:) I understand what you mean. Maybe I didnt express myself clear

enough. I wanted to use to following method as mentioned in FAQ:

If you are replying to my posting, it would be helpful and polite to

quote at least the relevant parts of it.

>

double gaussrand()

{

....

return X;

}

Now I wonder, whether I can multiply the standard deviation of e.g.

0.5 with X or with which variable (v1, v2, etc.) I need to multiply

it?

I said before :-

"The numbers generated by these methods have a specific distribution -

right?

To change that distribution, you can simply them (the numbers the

methods generate) by the required standard deviation, and add the

required mean - can't you?"

What about that didn't you understand?

Let's try another approach. The FAQ said

"These methods all generate numbers with mean 0 and standard deviation

1. (To adjust to some other distribution, multiply by the standard

deviation and add the mean.)"

This instruction must apply no matter which method you used to

generate your random number, so it must not relate in any way to the

internal implementation of that random number generator - right?

So the only thing to which we can apply the instructions "multiply by

the standard deviation and add the mean" is the output of the random

number generator. Is that any clearer?