Binomial Probabilities
TL;DR
Binomial probabilities refers to the likelihood of a specific number of success in a fixed number of independent trials, where each trial has two possible outcomes ( success or failure ). Binomial probability calculations are used to determine the probability of a certain number of "successes" occurring in a sequence of independent Bernoulli trials.
Fundamentals
- Bernoulli Trials
- Independent Events
- Success/Failure Outcomes
- Binomial Distribution
Calculation Methods
- Combinatorics Approach
- Binomial Coefficient
- Probability Formula
- Recursive Formulas
- Pascal's Triangle
- Cumulative Probabilities
Applications
- Quality Control
- Defect Rate Estimation
- Sampling Inspection Plans
- Risk Analysis
- Probability of Failure
- Probability Modeling
- Biological Sciences
- Generic Inheritance
- Clinical Trial Outcomes
Advanced Topics
- Poisson Approximation
- Rare Event Assumption
- Poisson Probability Formula
- Negative Binomial Distribution
- Geometric Distribution
- Waiting Time Problems