Unknown in discrete variable problem

  • Thread starter Thread starter buddingscientist
  • Start date Start date
  • Tags Tags
    Discrete Variable
buddingscientist
Messages
41
Reaction score
0
Let X be a random variable with probability function:
fx(x) = c/x!, x = 0, 1, 2, ...

Find c.

By first guess was to form the sum:
\sum_{i=0}^{x} c/i! = 1
But I have no idea if that's the right approach or how to proceed.
 
Physics news on Phys.org
Probably you have to normalize the probability function, in other words the total probability should be 1:

\sum_{x=0}^{\infty} f(x) = 1

This is easy because:

\sum_{x=0}^{\infty} \frac{1}{x!} = e
 
ahhh!
stupid me wasn't aware of that result, thanks heaps for that.




thanks, c = 1/e for anyone whos interested. I was able to complete the other problems relating to this question.

however I have one small problem, in my studies I've learned "a random variable X will be defined to be discrete if the range of X is countable" - introduction to theory of statistics (mood). but since the values of X was unbounded in the question (X = 0, 1, 2, ...) i.e: Z+ that is uncountable. ?
 
Last edited:
buddingscientist said:
however I have one small problem, in my studies I've learned "a random variable X will be defined to be discrete if the range of X is countable" - introduction to theory of statistics (mood). but since the values of X was unbounded in the question (X = 0, 1, 2, ...) i.e: Z+ that is uncountable. ?
Does countable mean finite or countably infinite? It almost surely means countably infinite. The nonnegative integers are easily seen to be countable:
{1, 2, 3, ...}
{0, 1, 2, ...}
I can't read your original question, so if you meant something else by "unbounded", sorry, but the nonnegative integers are bounded below by 0.
 
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Back
Top