Discrete probability distributions, expected value and standard deviation

What this note covers

1. From outcomes to a probability function
2. Estimating probabilities from data and recognising uniformity
3. Expected value as a weighted centre
4. Variance and standard deviation
5. Unknown probabilities and event boundaries
6. Using the distribution to compare practical outcomes
7. Literal worked extension 1
8. Literal worked extension 2

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