Probability (probability mass function,pmf)

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Homework Help Overview

The discussion revolves around a probability mass function (pmf) for a discrete random variable X, specifically the function f(x) = k / x! for x = 0, 1, 2, .... The original poster seeks to determine the value of k, while participants explore the properties of pmfs and the implications of total probability equaling 1.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the requirement that the total probability must equal 1 and question the nature of the sum involved. There is a suggestion to identify the sum of 1/x! and its significance in relation to the pmf.

Discussion Status

Some participants have provided guidance by referencing the properties of discrete distributions and the relationship to the exponential function. There is an acknowledgment of the need for calculus knowledge to fully understand the implications of the sum, and multiple interpretations of the problem are being explored.

Contextual Notes

There is a suggestion that some participants may not have taken calculus yet, which could limit their understanding of the concepts being discussed. The distinction between probability mass functions and probability density functions is also highlighted.

naspek
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If X has the probability mass function f(x) = k / x! (x=0,1,2,...),
what is the value of k?
 
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I think you mean "probability density function".

The total probability must be 1.
[itex]\sum_{x=0}^\infty k/x!= k\sum_{x=0}^\infty 1/x!= 1[/itex]

Do you know what that sum is?
 
HallsofIvy said:
I think you mean "probability density function".

The total probability must be 1.
[itex]\sum_{x=0}^\infty k/x!= k\sum_{x=0}^\infty 1/x!= 1[/itex]

Do you know what that sum is?
i don't know.. is it infinity?
 
For discrete distributions these are usually called mass functions - density is reserved for continuous distributions.

naspek, HallsofIvy is asking whether you can identify what the sum

[tex] \sum_{x=0}^\infty \frac 1 {x!}[/tex]

equals? This problem should remind you of a commonly used distribution.
 
You probably have not taken calculus yet, but if you had you would have learned that
[tex]e^x= \sum_{n=0}^\infty \frac{x^n}{n!}[/tex].

Do you know what an "exponential probability distribution" is?
 
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HallsofIvy said:
You probably have not taken calculus yet, but if you had you would have learned that
[tex]e^x= \sum_{n=0}&\infty \frac{x^n}{n!}[/tex].

Do you know what an "exponential probability distribution" is?

ok.. now i understand already... thanks guys! =)
 

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