Multivariate probability distributions?

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Homework Help Overview

The problem involves a Poisson distribution related to the number of customers entering a bank and the subsequent number of customers who open a new account. The original poster is uncertain about the relationship between the variables and the appropriate distribution to use.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the nature of the problem, with some suggesting it is univariate rather than multivariate. There are attempts to clarify the definitions of the random variables involved and the calculations for mean and variance.

Discussion Status

The discussion is exploring different interpretations of the problem, with some participants providing guidance on how to approach the calculations for mean and variance. There is no explicit consensus on how to find the unknown parameter lambda.

Contextual Notes

Participants are working under the assumption that the mean of the Poisson distribution is unknown, and there is a focus on deriving the mean and variance of a derived variable based on a proportion of customers.

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Homework Statement


Let Y be the number of customers entering a ABC bank in a day. It is known that Y has a Poisson distribution with some unknown mean lambda. Suppose that 1% of the customers entering the branch in a day open a new ABC bank account. Find the mean and variance of the number of customers who open a new ABC bank account in a day.


Homework Equations


The Attempt at a Solution



Just based on past experience, I THINK this is related to multivariate distributions and PROBABLY would use the fact E[E(Y|X)]=E(Y). But I am not sure how to define the random variables properly...

Can someone explain?

Thanks for any help!
 
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No, it is NOT a multivariate distribution- there is only the single variable, the number of customers. You are asked for the mean and variance of 0.01Y where Y is Poisson distributed.

If [itex]\sum yP(y)= \lambda[/itex], what is [itex]\sum 0.01 yP(y)[/itex]?
 
OK, so this is actually a univariate problem...

Let Z=number of customers who open a new ABC bank account in a day
Z~Poisson(0.01*lambda)
Then our job is to find E(Z) and Var(Z)?

Or is our job to find E(0.01Y) and Var(0.01Y) where Y~Poisson(lambda)?

Thank you!
 
So Z = 0.01 Y, we need to find E(Z) and Var(Z)
E(Z)=E(0.01Y)=0.01E(Y)=0.01*lambda
Var(Z)=Var(0.01Y)=(0.01^2) Var(Y)=0.0001*lambda

Am I right? Is to any way to find lambda?
 

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