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The probability of dependent events A and B occurring together refers to the likelihood that both events happen, where the occurrence of event A affects the probability of event B. This is calculated using conditional probability.
The calculator uses the formula:
Where:
Explanation: This formula calculates the joint probability of two dependent events by multiplying the probability of the first event by the conditional probability of the second event given the first.
Details: Understanding dependent events probability is crucial in statistics, risk assessment, and decision-making processes where events are interconnected and the occurrence of one event affects the likelihood of another.
Tips: Enter the probability of Event A (between 0 and 1) and the conditional probability of Event B given Event A (between 0 and 1). Both values must be valid probabilities.
Q1: What are dependent events?
A: Dependent events are events where the outcome of one event affects the probability of the other event occurring.
Q2: How is this different from independent events?
A: For independent events, P(B|A) = P(B), meaning the occurrence of A doesn't affect the probability of B. For dependent events, P(B|A) ≠ P(B).
Q3: What are some real-world examples of dependent events?
A: Drawing cards from a deck without replacement, the probability of rain given cloudy skies, or the probability of a product failure given manufacturing defects.
Q4: Can probabilities be greater than 1?
A: No, probabilities must always be between 0 and 1, inclusive. A probability of 0 means impossible, 1 means certain.
Q5: What if I have more than two dependent events?
A: For multiple dependent events, the formula extends to P(A∩B∩C) = P(A) × P(B|A) × P(C|A∩B), and so on for more events.