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Probability of Dependent Events A and B Occurring Together Calculator

Formula Used:

\[ P(A \cap B) = P(A) \times P(B|A) \]

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(0 to 1)

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1. What is the Probability of Dependent Events?

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.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ P(A \cap B) = P(A) \times P(B|A) \]

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.

3. Importance of Dependent Events Probability

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.

4. Using the Calculator

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.

5. Frequently Asked Questions (FAQ)

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.

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