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Poisson Expected Value Calculator


Expected Value Calculator - Poisson Distribution

Calculate the expected value (average number of events) for a Poisson distribution. Perfect for modeling rare events, arrivals, defects, or any scenario where events occur randomly over time or space.

💡
Key Insight: E(X) = 3.00 means you expect 3.00 events per time interval on average. For Poisson, the rate parameter λ IS the expected value - they are the same thing!

Parameter

Formula:E(X) = λ
Variance:Var(X) = λ
Zero events probability:4.98%
Showing 11 outcomes (≈100.0% of distribution)

Contribution to E(X)

k EventsProbabilityContribution
00.0497870.000000
10.1493610.149361
20.2240420.448084
30.2240420.672125
40.1680310.672125
50.1008190.504094
60.0504090.302456
70.0216040.151228
80.0081020.064812
90.0027010.024305
100.0008100.008102
E(X) ≈2.9967
Expected Value (Average Events per Interval)
E(X) = 3.0000
Formula: E(X) = λ = 3
Interpretation: For Poisson, λ is BOTH the rate parameter AND the expected value. Expect 3.00 events per time period on average.
📊E(X) in Context: Moderate event rate
  • Average 3.0 events per time period? That's your expected count
  • Over 100 periods? Expect total ≈ 300 events
  • Typical range per period: 1 to 5 events
Probability Distribution with E(X) = 3.00
Probability
E(X) = λ = 3.00
0.050
0
0.149
1
0.224
2
0.224
3
0.168
4
0.101
5
0.050
6
0.022
7
8
9
10
Number of Events

Understanding Expected Value for Poisson Distribution

What Does E(X) Mean?

The expected value E(X) represents the average number of events occurring in a fixed interval of time or space. For Poisson, this is simply λ - the rate parameter. If λ = 3, you expect 3 events per interval on average.

Interpreting Your Result

With E(X) = 3.00, this means:

  • Expect 3.00 events per time interval
  • Standard deviation is √λ = 1.73
  • Most intervals have 1-5 events

Real-World Examples

  • Phone calls (λ=2.5): Expect 2.5 calls per hour
  • Website visits (λ=10): Expect 10 visits per minute
  • Defects (λ=0.5): Expect 0.5 defects per batch
  • Emails (λ=15): Expect 15 emails per day

Why E(X) = λ

The Poisson distribution models rare, random events occurring at a constant average rate. The parameter λ represents this rate - the expected number of occurrences. By definition, if the average rate is λ, then the expected value IS λ. No calculation needed - it is built into the definition of the distribution!





Calculate Expected Value

Use the calculator below to compute the expected value with step-by-step solutions and detailed explanations.



Understanding Expected Value


Formula and Calculation


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