Probability generating function when x is even

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SUMMARY

The discussion centers on deriving the probability that a random variable x takes an even value using its probability generating function G(t). The key conclusion is that this probability can be expressed as P(X=e) = 1/2 (1 + G(-1)). The equations used include G(t) = ∑(k=0 to ∞) p_k t^k and the relationship between even and odd probabilities. The solution was confirmed by solving the equations systematically.

PREREQUISITES
  • Understanding of probability generating functions (PGFs)
  • Familiarity with random variables and their probability distributions
  • Basic knowledge of summation notation and infinite series
  • Experience with algebraic manipulation of equations
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  • Study the properties of probability generating functions in detail
  • Learn about the applications of PGFs in combinatorial problems
  • Explore the concept of moment generating functions and their differences from PGFs
  • Investigate examples of random variables with known probability distributions
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chwala
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Homework Statement


[/B]
A random variable x has a probability function ##G(t)##. Show that the probability that ##x## takes an even value is ## \frac 1 2 ( 1+G(-1))##

Homework Equations

The Attempt at a Solution


[/B]
##G(t)= \sum_{k=0}^\infty p_k t^k ##...
## 1=P(X=even)+ P(X=odd)##...1
##G(-1)= (P=even)- P(X=odd)##...2
On solving 1 and 2,
##G(-1)= 2P(X=e) - 1##
→## P(X=e) = \frac 1 2 (1+G(-1))##
guess i was just tired...problem solved.
 
Last edited:
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Thanks for posting the solution.
 
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