Statistics question (poisson distribution, multivariate )

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SUMMARY

This discussion focuses on solving a statistics problem involving the Poisson distribution and multivariate distributions. The first problem requires calculating the probability of receiving more than 2 telephone calls per minute, given an average of 2.5 calls. The second problem involves determining marginal densities, means, variances, covariance, and correlation coefficients for a joint probability density function (p.d.f) of two random variables, X and Y. Participants express confusion about the calculations and seek clarification on deriving marginal densities and correlation coefficients.

PREREQUISITES
  • Understanding of Poisson distribution and its applications
  • Knowledge of joint probability density functions (p.d.f)
  • Familiarity with marginal densities and their calculations
  • Basic concepts of covariance and correlation coefficients
NEXT STEPS
  • Study the derivation of marginal densities from joint p.d.f.
  • Learn how to calculate covariance and correlation coefficients in multivariate distributions
  • Explore Poisson distribution properties and applications in real-world scenarios
  • Review examples of statistical problems involving means and variances of random variables
USEFUL FOR

Students studying statistics, data analysts, and anyone seeking to understand multivariate distributions and Poisson processes.

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Homework Statement



On average, 2.5 telephone calls per minute are received at a corporation's switchboard. Making appropriate assumptions about the distribution ( provide justification ), find the probability that at any given minute there will be more than 2 calls.

Homework Equations



No idea.

The Attempt at a Solution



No idea.

Homework Statement


Let the joint p.d.f of X and Y, f(x,y), be given by

.....x
...1...2...3
y..1...0.3..0.2..0.1
...2 ...0.1..0.1..0.2
(ignore the dots)
a) Determine marginal densities
b) compute the means and variances of X and Y
c) Calculate sigma(?) xy = cov (X,Y) and the correlation coefficient ρ. Are X and Y independent ?
d) Let Z = X+Y. determine k(z)+P(Z=z), z = 2,3,4,5. determine the mean and variance.

Homework Equations



good question

The Attempt at a Solution



I don't have one

Well, how do I do this? I do not understand it. If anybody has some insight on either problem, I'd appreciate it.
 
Last edited:
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Got the first one now. About the 2nd one - I THINK I now have b and partly c. but c required the marginal densities, correct ( for the correlation coefficient ) ? I don't know how to do that. The example in the book just tells me ok here it is..without explaining how to get it.
 

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