Steply

Poisson mean 2, P(X = 3)

Step by step, with the reason for every step · The Poisson distribution · University Statistics

Step by step

The question

Question: X is Poisson with mean 2: find the probability that X is exactly 3.

Poisson, μ = 2: P(X = 3)?

Poisson counts how many times something happens in a fixed time, when we know the average.

Poisson: counts in a time or a space, with a known average

1 Name the numbers

μ, the average, is 2.

μ = 2

x, the count we want, is 3.

x = 3

2 Write the formula

The Poisson formula: μ to the power x, times e to the power minus μ, over x factorial.

P(X = x) = μx × e−μx!

e is a number, about 2.718.

e to the power minus 2 is about 0.1353.

x factorial multiplies down to 1, and 0 factorial is 1.

e ≈ 2.718, e−2 ≈ 0.1353
x! = x × ... × 2 × 1, 0! = 1

Careful!

0 factorial is 1, not 0.

Careful: 0! = 1 (not 0)

3 Put the numbers in

2 to the power 3 is 8.

3 factorial is 3 times 2 times 1: 6.

23 = 8, 3! = 3 × 2 × 1 = 6

4 Work it out

8 times 0.1353, over 6, is about 0.1804.

P(X = 3) = 23 × e−23! = 8 × 0.13536 ≈ 0.1804

5 Check

Let's check another way: step up from P of 0.

P of 0 is e to the power minus 2: about 0.1353.

P(0) = e−2 ≈ 0.1353

Each next one is the last one times 2, divided by the new x.

P of 1 is about 0.2707.

P(1) = P(0) × 2 ÷ 1 ≈ 0.2707

P of 2 is about 0.2707.

P(2) = P(1) × 2 ÷ 2 ≈ 0.2707

P of 3 is about 0.1804.

The same!

So it is right!

P(3) = P(2) × 2 ÷ 3 ≈ 0.1804

Let's look back.

First: name the numbers.

Then: write the formula.

Then: put the numbers in.

Then: work it out.

Last: check.

Answer
P(X = 3) = 23 × e−23! = 8 × 0.13536 ≈ 0.1804

Your turn

Try this one yourself, then check:

Poisson, μ = 2.5: P(X = 3)?
Show the answer
P(X = 3) ≈ 0.2138

More from The Poisson distribution

The whole lesson: The Poisson distribution →