What are Events in Probability?
In probability theory, an event is a specific outcome or a set of outcomes of an experiment or a random phenomenon.
Events can range from simple outcomes, such as flipping a coin and getting heads, to more complex outcomes involving multiple trials or conditions. Events can be of many types such as
- Simple Events
- Compound Events
- Mutually Exclusive Events
- Dependent Events
- Independent Events
Read in Detail: Events in Probability – Types, Examples, Definition
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