Probability generating function when x is even

In summary, a probability generating function (PGF) is a mathematical function used to describe the probability distribution of a discrete random variable. It is related to the probability mass function (PMF) by taking the derivative of the PGF at a certain value of x. When x is even, the PGF is calculated by summing the probabilities of all even values of x. The use of a PGF when x is even has many applications in probability and statistics, such as modeling and analyzing systems and calculating higher moments and moment generating functions.
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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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What is a probability generating function?

A probability generating function (PGF) is a mathematical function used in probability theory to describe the probability distribution of a discrete random variable. It is defined as the expected value of a variable raised to the power of the number of occurrences of that variable.

Why is the probability generating function important?

The probability generating function allows us to easily calculate moments and other properties of a probability distribution, such as mean, variance, and higher-order moments. It also provides a compact and efficient way to represent the distribution of a random variable.

What is the formula for the probability generating function?

The formula for the probability generating function is G(t) = E(t^X), where X is the random variable and t is a real number. This can also be written as G(t) = Σ p(x)t^x, where p(x) is the probability mass function of X.

How is the probability generating function used when x is even?

When x is even, the probability generating function can be used to calculate the probability of the random variable taking on even values. This is done by evaluating the PGF at t=1, which gives the sum of probabilities for all even values of x.

Can the probability generating function be used for continuous random variables?

No, the probability generating function is only defined for discrete random variables. For continuous random variables, the analogous function is the moment generating function, which is defined as the expected value of e^(tx).

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