A Bernoulli distribution models one trial with two outcomes, typically success 1 and failure 0.
What Is Bernoulli Distribution?
A Bernoulli distribution models one trial with two outcomes, typically success 1 and failure 0.
Examples of Bernoulli Distribution
1
A single packet transmission can be modeled success/failure.Formula and Key Points
Formula / rule
P(X=1)=p, P(X=0)=1−p
- Know the definition and standard notation for Bernoulli Distribution.
- Be able to recognise or compute bernoulli distribution in a small example.
- Connect the concept to nearby topics in the same subject before using it in larger CSE problems.
Why This Matters in Computer Science
Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science.
Related Math Terms
Bernoulli Distribution: Frequently Asked Questions
What is Bernoulli Distribution?
A Bernoulli distribution models one trial with two outcomes, typically success 1 and failure 0.
Why is Bernoulli Distribution useful in computer science?
Used in randomized algorithms, artificial intelligence, reliability, networking, security and data science.