Binomial distributions and modelling assumptions

What this note covers

1. Recognising a binomial experiment
2. Exact counts and the binomial formula
3. Cumulative events and complements
4. Mean, variance and the shape of a count
5. Solving for trial numbers or probabilities
6. Checking independence and interpreting expected counts

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