The binomial distribution: conditions, probabilities, mean and standard deviation

What this note covers

1. One trial: the Bernoulli variable
2. When a count is binomial
3. Exactly k successes and the combinations factor
4. Cumulative events, complements and discrete boundaries
5. Mean and spread of the success count
6. Solving backwards for a trial count or probability
7. Distribution shape and the role of both parameters
8. Literal worked extension 1

8 sections · 10 key terms & formulas · 6 common mistakes