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Geometric Expected Value Calculator


Expected Value Calculator - Geometric Distribution

Calculate the expected value (average number of trials until first success) for a geometric distribution. Perfect for modeling attempts until success: coin flips, sales calls, quality tests, or any 'try until you succeed' scenario.

💡
Key Insight: E(X) = 5.00 means on average you need 5.00 trials to get your first success. This is how many attempts you should expect before succeeding.

Parameter

Formula:E(X) = 1 / p
Success rate:20.0%
Failure rate:80.0%
Showing 20 outcomes (≈98.8% of distribution)

Contribution to E(X)

Trial kProbabilityContribution
10.2000000.200000
20.1600000.320000
30.1280000.384000
40.1024000.409600
50.0819200.409600
60.0655360.393216
70.0524290.367002
80.0419430.335544
90.0335540.301990
100.0268440.268435
110.0214750.236223
120.0171800.206158
130.0137440.178671
140.0109950.153932
150.0087960.131941
160.0070370.112590
170.0056290.095701
180.0045040.081065
190.0036030.068455
200.0028820.057646
E(X) ≈4.7118
Expected Value (Trials Until First Success)
E(X) = 5.0000
Formula: 1 / p = 1 / 0.2 = 5.00
Interpretation: On average, you need 5.00 attempts to get your first success
📊E(X) in Context: Moderate success rate
  • 20% success rate? Expect 5.0 attempts until first success
  • 100 experiments? Expect total ≈ 500 attempts
  • Typical range: 1 to 9 attempts
Probability Distribution with E(X) = 5.00
Probability
E(X) = 5.00
0.200
1
0.160
2
0.128
3
0.102
4
0.082
5
0.066
6
0.052
7
0.042
8
0.034
9
0.027
10
0.021
11
0.017
12
0.014
13
0.011
14
15
16
17
18
19
20
Number of Trials

Understanding Expected Value for Geometric Distribution

What Does E(X) Mean?

The expected value E(X) represents the average number of trials you need until you get your first success. It is how many attempts you should expect before achieving success when each trial is independent.

Interpreting Your Result

With E(X) = 5.00, this means:

  • Expect 5.00 trials until first success on average
  • Half the time you will succeed within 4 trials (median)
  • Each trial has the same probability - past failures do not affect future chances

Real-World Examples

  • Coin flips (p=0.5): E(X) = 2 flips until heads
  • Sales calls (p=0.1): E(X) = 10 calls until first sale
  • Quality test (p=0.02): E(X) = 50 items until first defect

Why E(X) = 1 / p

The geometric distribution is memoryless - each trial is independent with success probability p. The expected waiting time is simply the reciprocal: if you have a 20% chance each trial (p=0.2), you expect to wait 1/0.2 = 5 trials on average.





Calculate Expected Value

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



Understanding Expected Value


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