Probability

Single Event

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Finding the Chance of an Event, Alone or Combined

Probability measures how likely an event is, as a number between 0 (impossible) and 1 (certain). Enter a count of favorable and total outcomes to find a single event’s probability and its complement, or enter two independent events’ probabilities to find the chance both happen, either happens, or neither happens.

The Formula

Single event:

Probability=Favorable OutcomesTotal Outcomes\vC{\text{Probability}} = \frac{\text{Favorable Outcomes}}{\text{Total Outcomes}}

The complement (the chance the event does NOT happen) is always 1Probability1 - \vC{\text{Probability}}.

Two independent events (where one event happening doesn’t change the chance of the other):

  • P(both occur)=P(A)×P(B)P(\text{both occur}) = P(\vA{A}) \times P(\vB{B})
  • P(either occurs)=P(A)+P(B)P(A)×P(B)P(\text{either occurs}) = P(\vA{A}) + P(\vB{B}) - P(\vA{A}) \times P(\vB{B}) — adding the two directly would double-count the overlap where both happen, so it’s subtracted back out once (the inclusion-exclusion principle).
  • P(neither occurs)=(1P(A))×(1P(B))P(\text{neither occurs}) = (1 - P(\vA{A})) \times (1 - P(\vB{B}))

Worked Example

Single event: rolling an even number on a standard 6-sided die.

  1. Favorable outcomes: 3 (2, 4, 6) out of 6 total: 3÷6=50%3 \div 6 = \vC{50\%}.
  2. Complement: 150%=50%1 - \vC{50\%} = 50\% (rolling an odd number).

Two independent events: flipping a coin and getting heads (P = 50%) AND rolling a die and getting a 6 (P ≈ 16.67%):

  1. P(both) = 0.5 × 0.1667 ≈ 8.33%
  2. P(either) = 0.5 + 0.1667 − 0.0833 ≈ 58.33%
  3. P(neither) = 0.5 × 0.8333 ≈ 41.67%

Key Factors to Consider

  • The independent-events formulas here only apply when one event’s outcome genuinely doesn’t affect the other’s. A coin flip and a die roll are classic independent events — but drawing two cards from a deck WITHOUT replacement is NOT independent, since removing the first card changes the odds for the second. Applying these formulas to dependent events gives an incorrect result.
  • A probability of 0 means impossible and 1 means certain — every real probability falls somewhere between those two extremes. This 0-to-1 scale (or equivalently 0% to 100%) is the universal convention across probability and statistics, which is why this calculator’s results always fall within that range.
  • The “gambler’s fallacy” is a common misconception this calculator’s math directly contradicts. Believing that a fair coin is “due” for tails after several heads in a row misunderstands independence — each flip has the exact same 50% probability regardless of what happened before, since previous flips have no actual effect on a fair coin’s next result.
  • Classical probability (favorable outcomes divided by total outcomes) assumes every outcome is equally likely. This assumption holds for a fair die or a fair coin, but not for every real-world scenario — a weighted die or a biased coin would need actual observed frequencies instead of this simple counting method to estimate its true probabilities.

Common Mistakes

  • Using the independent-events formulas on events that aren’t actually independent. Drawing two cards from a deck without replacing the first one is a classic example — removing the first card changes the odds for the second, so treating them as independent overstates or understates the real combined probability.
  • Simply adding P(A) and P(B) to find the chance either occurs. That double-counts the case where both happen — the overlap has to be subtracted back out once, which is exactly what the inclusion-exclusion formula above does.
  • Believing a fair coin or die is “due” for a particular result after a streak. Each independent flip or roll has the exact same probability every time, regardless of what happened on previous flips — this misconception (the “gambler’s fallacy”) is directly contradicted by the independence assumption these formulas rely on.

Useful to Know

  • Working with a full dataset of numbers rather than a single probability? Statistics Calculator calculates mean, median, mode, and standard deviation.
  • Need to count arrangements or selections instead of a probability? Permutation and Combination Calculator calculates permutations and combinations.
  • Want to try rolling actual dice rather than just calculating the odds? Dice Roller Calculator rolls any number of dice with any number of sides.

Source: Standard probability formulas (classical probability and independent-event rules).

Frequently Asked Questions

What does "independent events" mean?

Two events are independent if one happening has no effect on the chance of the other happening — like a coin flip and a separate die roll. If one event DOES affect the other (dependent events), these formulas do not apply.

Why do you subtract P(A) x P(B) when finding P(either occurs)?

Simply adding P(A) and P(B) would count the case where BOTH happen twice — once in each probability. Subtracting the overlap (P(A) x P(B)) back out corrects for that double-count. This is called the inclusion-exclusion principle.

What is a complement in probability?

An event's complement is everything that counts as the event NOT happening. Since an event either happens or it doesn't, an event's probability and its complement's probability always add up to exactly 1 (100%).

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