Interpretation of random variable

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SUMMARY

The discussion centers on the interpretation of the probability mass function (PMF) for a random variable X defined as P(X=k) = (r+k-1 C r-1)pr(1-p)k. This PMF is identified as resembling a binomial distribution, where the parameters r and p represent the number of successes and the probability of success, respectively. The transformation of the PMF into a binomial form indicates that X can be interpreted as the total number of successes in a series of trials, specifically r-1 successes in r+k-1 trials. The participants conclude that X represents the distribution of successes in a probabilistic framework.

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  • Understanding of probability mass functions (PMFs)
  • Familiarity with binomial distributions
  • Knowledge of combinatorial notation (e.g., C(n, k))
  • Basic concepts of random variables
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  • Learn about the derivation of probability mass functions
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Obraz35
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Homework Statement


The probability mass function of a random variable X is:
P(X=k) = (r+k-1 C r-1)pr(1-p)k
Give an interpretation of X.

Homework Equations





The Attempt at a Solution


The PMF looks like the setup for a binomial random variable. The first combination looks like you are arranging r-1 successes in r+k-1 slots. And the pr seems like it is giving the probability of r successes occurring. But I don't see what X as a whole is standing for.
 
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i think you;re almost there, so i assume you mean
P(X=k) = C_{r-1}^{r+k-1}p^r(1-p)^k

can re-write this as
P(X=k) = p.C_{(r-1)}^{k+(r-1)}p^{r-1}(1-p)^{k}

which as you say comparing with the binomial distribution is for n trials, m success, and probability of success of p

can re-write this as
P(M=m) = p.C_{m}^{n}p^{n-m}(1-p)^{m}

so your distribution is effectively p (the probability of a single success) times the probability of r-1 successes out of r-1+k trials (with probability of success p).

any ideas for an interpretation of this as a total entity?
 

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