Probability of At Least One Success
Worked example: p = 0.1 reaching P = 0.40951 → n = 5 — press Try an example to run it live, then adjust anything.
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At least one, and what it's worth →
Grade 12Grade 12 Math
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Probability of At Least One Success explained
"At least one" is the complement of "none at all", and "none at all" is a simple product: all n attempts must fail, which happens with probability (1 − p)^n. At least one six in four rolls of a die is 1 − (5/6)⁴ = 1 − 625/1296 ≈ 0.518, a favourable bet. The Chevalier de Méré made money on exactly that wager, then reasoned that 24 throws of two dice should be equally good since 24/36 matches 4/6 — but 1 − (35/36)²⁴ ≈ 0.491, just under even, and his losses prompted the 1654 Pascal–Fermat correspondence that founded the subject.
Enter p as a decimal from 0 to 1, or switch the unit to %. Solving for n answers the planning question: to reach a 99% chance of at least one success when each attempt works 10% of the time, n = ln(0.01)/ln(0.9) ≈ 43.7, so 44 attempts. The trap is adding probabilities instead — ten 10% attempts do not give 100%, they give 1 − 0.9¹⁰ ≈ 0.651. Note the useful rule of thumb that n = 1/p attempts lands near 1 − e⁻¹ ≈ 63%, never certainty.
Probability of At Least One Success formula
- = Probability of at least one success
- = Probability of success per attempt
- = Number of attempts
Missing one of these? Work it out first, then come back
- Probability of at least one success — Binomial Distribution Mean, Expected Trials Until First Success
- Probability of success per attempt — Binomial Distribution Mean, Expected Trials Until First Success
- Number of attempts — Binomial Distribution Mean, Binomial Distribution Variance