Probability

Independent Events

Two events are independent when knowing one occurs does not change the probability of the other.

Meaning

What Is Independent Events?

Two events are independent when knowing one occurs does not change the probability of the other.

Two events are independent when knowing one occurs does not change the probability of the other.

Examples

Examples of Independent Events

1Two separate fair coin tosses are independent.
Understand

Formula and Key Points

Formula / rule
P(A∩B)=P(A)P(B)
  • Know the definition and standard notation for Independent Events.
  • Be able to recognise or compute independent events in a small example.
  • Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
CSE Connection

Why This Matters in Computer Science

Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science.

FAQ

Independent Events: Frequently Asked Questions

What is Independent Events?

Two events are independent when knowing one occurs does not change the probability of the other.

Why is Independent Events useful in computer science?

Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science.