Hi,

Suppose I have a probability distribution function f(x). I would like to generate points in a

(1) given interval, can be up to infinity

(2) number of points

(3) satisfy the known probability distribution function f(x)

(4) possible other specifications

Is there any build-in option in maple I could use? Or I have to write something manually?

Thank you very much!

Dear Maple users

I am unsure how to handle events and their probabilities in Maple. Let's say I know that an event A has the probability say 0.3 and another event B has probability 0.8. I would like to make the following assignments:

P(A):=0.3:

P(B):=0.8

and maybe defining the conditional probability:

P(A|B):=0.55

but I am not allowed to do so in Maple because if will regarded as a function definition. My purpose is to make simple calculations with those probabilities for example:

P(C):=P(A)*P(B) etc.

My problem is therefore more of a notational problem than a mathematical one. I hope someone can advice me on a proper setup. I am using 2D math notation, by the way. I could of course name the variables containing the probability using simple names like X1, X2, etc., but then I need constantly to remember what they really mean. The above assignments would be much better, because they are easier to handle mentally.

Regards,Erik

This should be trivial but I am not able to figure out the right syntax to execute it

The pdf is given by :

f_X(x)={ 1/25 *x, 0<=x<5

2/5 -x/25, 5<=x<10

0, otherwise

I have tried to use the "CumulativeDistributiveFunction" so far

Hello people in Mapleprimes,

I want to do calculations about an expected value.

For example,

expectedvalueofc.pdf

that is, \int_a^b c d \Omega

where, \Omega is a distribution function of c.

But, I don't know whether this equation can be put into worksheet.

Is there no way other than writing this as

\int_a^b c g(c) dc,

where g shows a probability density function.

Can I use Statistics[ExpectedValue] to calculate expected value with a general distribution function, not specified

to normal distribution?

I hope you will give me some hints.

Best wishes.

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