Poisson distribution for insurance

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SUMMARY

The discussion centers on the application of the Poisson distribution with a mean of 4 to model warranty claims for an insurer. Each claim results in a payment of 2, leading to a total payment model represented by the variable Y. The participants clarify that while the mean of claims (X) is 4, the standard deviation of claims is 2, and they emphasize the need to derive the mean and standard deviation for the total payments (Y) to solve the problem accurately.

PREREQUISITES
  • Understanding of Poisson distribution and its properties
  • Knowledge of statistical measures such as mean and standard deviation
  • Ability to define and differentiate between random variables
  • Familiarity with probability density functions
NEXT STEPS
  • Calculate the mean and standard deviation of total payments using Y = 2X
  • Explore the Poisson probability mass function for specific values
  • Learn about the Central Limit Theorem and its implications for Poisson distributions
  • Investigate applications of Poisson distribution in insurance and risk management
USEFUL FOR

Statisticians, actuaries, insurance analysts, and students studying probability and its applications in real-world scenarios.

RAYINDASKY
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Homework Statement



An insurer uses the Poisson distribution with mean 4 as the model for the number
of warranty claims per month on a particular product. Each warranty claim results
in a payment of 2 by the insurer. Find the probability that the total payment by
the insurer in a given month is less than two standard deviations above the average
monthly payment.


Homework Equations





The Attempt at a Solution


So, mean = 4
Standard deviation = 2
x=2

Will I use the density function to solve this?
 
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RAYINDASKY said:

Homework Statement



An insurer uses the Poisson distribution with mean 4 as the model for the number
of warranty claims per month on a particular product. Each warranty claim results
in a payment of 2 by the insurer. Find the probability that the total payment by
the insurer in a given month is less than two standard deviations above the average
monthly payment.


So, mean = 4
Standard deviation = 2
x=2

Will I use the density function to solve this?

Mean of what is 2? Standard deviation of what is 2? Where did the 2 come from?

You need to define your variables to get started. If X is the number of warranty claims in a month then the mean of X is 4. What is the std deviation of X? If Y is the amount paid in claims in a month, then isn't Y = 2X? Y and X aren't the same thing. Can you get the mean and std deviation of Y? Can you get going from this?
 

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