Dependent Events Formula
Formula for probability of dependent events is given as:
P(B∣A) = P(A∩B) / P(A)
Where,
- P(A∩B) represents the probability of both events A and B occurring.
- P(A) is the probability of event A occurring.
- P(B∣A) is the conditional probability of event B occurring given that event A has already occurred.
Dependent Events
Dependent Events in Probability: Dependent events are those events that are affected by the outcomes of events that had already occurred previously. i.e. Two or more events that depend on one another are known as dependent events. If one event is by chance changed, then another is likely to differ.
In this article, we will discuss Dependent Events in detail, including their examples, theorem, as well as the method to calculate the probability of dependent events, and the difference between Dependent Events and Independent Events.
Table of Content
- What are Events in Probability?
- What are Dependent Events in Probability?
- Dependent Events Definition
- Dependent Events Examples
- Probability of Dependent Events
- Dependent Events Formula
- Difference Between Independent and Dependent Events
- Dependent Events: Examples in Real Life
- Dependent Events – Solved Examples
- Practice Problems on Dependent Events
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