Probability Theory: Poisson Distribution

Click For Summary
SUMMARY

The discussion focuses on calculating the probability P(X ≥ 4) for a random variable with a Poisson distribution characterized by the parameter λ = 2. The formula used is P(X = k) = λ^k e^(-λ) / k!, leading to the transformation of the problem into a summation of probabilities from k = 4 to infinity. The solution involves recognizing that P(X ≥ 4) can be simplified to 1 - P(X ≤ 3), which is a crucial insight for solving the problem efficiently.

PREREQUISITES
  • Understanding of Poisson distribution and its properties
  • Familiarity with the formula P(X = k) = λ^k e^(-λ) / k!
  • Basic knowledge of summation notation and series
  • Experience with mathematical software like Wolfram Alpha for verification
NEXT STEPS
  • Study the derivation of the cumulative distribution function (CDF) for the Poisson distribution
  • Learn how to compute probabilities for different values of λ in Poisson distributions
  • Explore the relationship between Poisson and normal distributions for large λ
  • Investigate other applications of Poisson distribution in real-world scenarios
USEFUL FOR

Students studying probability theory, statisticians, and anyone interested in applying Poisson distribution in statistical analysis or real-world problem-solving.

mliuzzolino
Messages
58
Reaction score
0

Homework Statement



A random variable has a Poisson distribution with parameter λ = 2. Compute the following probabilities, giving an exact answer and a decimal approximation.

P(X ≥ 4)


Homework Equations



P(X = k) = λke/k!

The Attempt at a Solution



P(X ≥ 4) = Ʃk = 4 λke/k!

= λ4e/4! + λ5e/5! + λ6e/6! + \cdots

= e4/4! + λ5/5! + λ6/6! + \cdots]

= e Ʃk = 4 λk/k!

Let n = k - 4

=e Ʃn = 0 λn+4/(n+4)!

plug in λ = 2

= e-2 Ʃn = 0 2n+4/(n+4)!

= e-2 Ʃn = 0 2n24/(n+4)!

= 16e-2 Ʃn = 0 2n/(n+4)!

This is as far as I have gotten, but I'm not sure I'm on the correct track. I used wolfram alpha to reduce the summation term, Ʃn = 0 2n/(n+4)!, to [1/48(3e2-19)], but I'm at a loss as to how to get there myself.

Anyone have any suggestions? It would be greatly appreciated!
 
Physics news on Phys.org
mliuzzolino said:

Homework Statement



A random variable has a Poisson distribution with parameter λ = 2. Compute the following probabilities, giving an exact answer and a decimal approximation.

P(X ≥ 4)


Homework Equations



P(X = k) = λke/k!

The Attempt at a Solution



P(X ≥ 4) = Ʃk = 4 λke/k!

= λ4e/4! + λ5e/5! + λ6e/6! + \cdots

= e4/4! + λ5/5! + λ6/6! + \cdots]

= e Ʃk = 4 λk/k!

Let n = k - 4

=e Ʃn = 0 λn+4/(n+4)!

plug in λ = 2

= e-2 Ʃn = 0 2n+4/(n+4)!

= e-2 Ʃn = 0 2n24/(n+4)!

= 16e-2 Ʃn = 0 2n/(n+4)!

This is as far as I have gotten, but I'm not sure I'm on the correct track. I used wolfram alpha to reduce the summation term, Ʃn = 0 2n/(n+4)!, to [1/48(3e2-19)], but I'm at a loss as to how to get there myself.

Anyone have any suggestions? It would be greatly appreciated!

##P(X \geq 4) = 1-P(X \leq 3).##
 
  • Like
Likes   Reactions: 1 person
Ray's 'clue' is what you must use for this problem. generally, this would be a difficult problem. But luckily, 4 is not a large number.
 
Doh! That little fact completely slipped my mind. Thanks guys!
 

Similar threads

  • · Replies 15 ·
Replies
15
Views
2K
Replies
6
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 6 ·
Replies
6
Views
1K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 21 ·
Replies
21
Views
2K
Replies
4
Views
5K
  • · Replies 4 ·
Replies
4
Views
1K