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Statistics

Probability of at least one success

Chance that n independent attempts produce one or more successes.

Ref
STA-11
Rev
v1
Field
Statistics
Result
P

p is the chance of success on one attempt and n the number of independent attempts with the same p. The chance of failing every time is (1 − p)ⁿ, and the answer is its complement. For small p and moderate n the answer is close to np.

Chance that n independent attempts produce one or more successes. Many modest chances add up quickly.

Calculator

Solve for
0.0010.99
1100
  • Chance of no successes, (1 − p)ⁿ0.5905
  • Attempts needed for a 90 % chance, rounded up22

What drives the result

Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.

Probability () current value 0.4095
pProbability of success each timeKey driver
0.004991
nNumber of attempts
0.11
  • Five attempts at 10 % each give a 41 % chance of at least one success, not 50 %: chances do not simply add.
  • Doubling the number of attempts does not double the chance; at 10 % you need 22 attempts to reach 90 %.
Chart data as tables

Ranked variables

VariableTypical rangeLowest resultHighest resultSwing ()Local stepChange in result
p Probability of success each time0.001 to 0.99 0.0049910.995+10%+7.83 %
n Number of attempts1 to 100 0.110.9+1 +14.4 %

Sweep of Probability of success each time

Probability of success each timeProbability
0.0010.00499
0.12460.486
0.24820.7599
0.37190.9022
0.49550.9673
0.61910.992
0.74280.9989
0.86641
0.991

Sweep one variable

Probability ()Hover, touch, or use the arrow keys on the chart
00.20.40.60.81 0.20.40.60.8 Probability of success each time now 0.4095

Variables and how each one contributes

P

Probability

Result ·

What the equation gives you. Everything else feeds it.

p

Probability of success each time

· typical 0.001 to 0.99

The chance of success on a single attempt. Raises the chance of at least one success, most strongly when the existing chance is still small.

n

Number of attempts

· typical 1 to 100

The number of independent attempts. Raises the chance, with diminishing returns: the first few attempts add most of the benefit.

Worked example with the values above

  1. Chance of failing once: 1 − p = 0.9.
  2. Chance of failing every time: 0.95 = 0.59049.
  3. P = 1 − 0.59049 = 0.40951.

Assumptions and limits

  • Attempts are independent.
  • The chance p is the same on every attempt.

Common mistakes

  • Adding the probabilities (np) instead of using the complement.
  • Using the formula when attempts affect each other.

Statistics and uncertainty

Assumes the attempts are independent. If events share a common cause, the real chance of at least one success is lower than this formula predicts.

Where it is used

  • Cumulative chance of a detection or hit over repeated looks or shots.
  • Chance that at least one of several redundant components works.

Maths you need

  • Probability: the complement rule
  • Independent events: multiplying probabilities

Related formulas

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