Poisson variable w/ uni. dist. parameter

In summary, we have a problem where X follows a Poisson distribution with parameter lambda, which in turn follows a uniform distribution between 0 and 5. We are asked to find the probability that X is greater than or equal to 3. To solve this, we can use the Poisson probability formula and the given information about lambda to find the probability that X is less than or equal to 2, and then subtract this from 1 to get the desired probability.
  • #1
shaggymoods
26
0

Homework Statement


Let
[itex]X\sim Poi(\lambda)[/itex]
and assume
[itex]\lambda\sim Uni(0,5)[/itex]

Q: Find
[itex]\mathbb{P}\{X \geq 3\}[/itex]

Homework Equations


For a Poisson r.v. with parameter lambda,
[itex]\mathbb{P}\{X = k\}=\frac{\lambda^{k}e^{-\lambda}}{k!}[/itex]

and the probability that lambda is in the interval (0,5) is 1/5 and 0 otherwise.

The Attempt at a Solution



I know that I first need to write out P(X<=2) and use the fact that P(X>=3)=1 - P(X<=2). However, how do I use the fact that lambda is uniform over (0,5)? I can't seem to think about it correctly.
 
Last edited:
Physics news on Phys.org
  • #2
Condition on [tex]\lambda[/tex].
 

What is a Poisson variable?

A Poisson variable is a type of discrete random variable that represents the number of occurrences of a specific event within a given time or space. It is often used to model rare events or events that occur randomly and independently of each other.

What is a uniform distribution parameter?

A uniform distribution parameter is a value that determines the shape and characteristics of a uniform distribution. In the context of a Poisson variable, it represents the average number of occurrences of the event per unit of time or space.

How is a Poisson variable with a uniform distribution parameter calculated?

The probability mass function for a Poisson variable with a uniform distribution parameter is calculated using the formula P(X=k) = (e^-λ * λ^k) / k!, where λ is the uniform distribution parameter and k is the number of occurrences of the event.

What are some real-life examples of Poisson variables with a uniform distribution parameter?

Some examples include the number of car accidents in a day, the number of customers at a store within a certain time period, and the number of hurricanes in a given year. These events occur randomly and independently of each other, making them suitable to be modeled with a Poisson variable.

What are the limitations of using a Poisson variable with a uniform distribution parameter?

One limitation is that it assumes a constant rate of occurrence for the event being modeled. In real-life scenarios, this may not always be the case. Additionally, it may not accurately model events that are not rare or events that are dependent on each other.

Similar threads

  • Calculus and Beyond Homework Help
Replies
8
Views
660
  • Calculus and Beyond Homework Help
Replies
6
Views
588
  • Calculus and Beyond Homework Help
Replies
10
Views
972
  • Calculus and Beyond Homework Help
Replies
1
Views
653
  • Calculus and Beyond Homework Help
Replies
7
Views
549
  • Calculus and Beyond Homework Help
Replies
2
Views
822
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
32
Views
2K
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
Replies
1
Views
996
Back
Top