確率計算機

ステップバイステップの解法で様々なシナリオの確率を計算

P(A and B) - Provide P(A ∩ B) or choose an assumption

Provide the joint probability or choose an assumption below.

Independent events: P(A|B) = P(A) - occurrence of B doesn't affect A. Example: Two separate coin flips.

Mutually exclusive events: P(A ∩ B) = 0 - events cannot occur together. Example: Rolling a 2 or a 5 on a single die.

⚠️ Events cannot be both independent and mutually exclusive (unless one has probability 0).

結果

値を入力して計算をクリックして結果を表示してください。

Probability Calculations

Probability measures the likelihood of an event occurring, expressed as a number between 0 and 1 (or 0% and 100%). Key probability rules include:

  • AND (Intersection): P(A and B) = P(A) × P(B) for independent events
  • OR (Union): P(A or B) = P(A) + P(B) - P(A and B)
  • Conditional: P(A|B) = P(A and B) / P(B) - probability of A given B
  • Complement: P(A') = 1 - P(A) - probability of A not occurring
  • Independent Events: P(A|B) = P(A) - occurrence of B doesn't affect A
  • Mutually Exclusive: P(A and B) = 0 - events cannot occur together

Understanding these rules helps in calculating probabilities for complex scenarios involving multiple events, such as games of chance, risk assessment, and statistical inference.

\(P(A \cup B) = P(A) + P(B) - P(A \cap B), P(A|B) = \frac{P(A \cap B)}{P(B)}, P(A') = 1 - P(A)\)

Worked Examples

Example 1

\(\text{Rolling a die: } P(\text{even}) = \frac{3}{6} = 0.5 \text{ or } 50\%\)

Example 2

\(\text{Two coins: } P(\text{both heads}) = 0.5 \times 0.5 = 0.25 \text{ or } 25\%\)
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