Probability
by Monet May
1. Independent
2. Combinations
3. Permutations
4. Practical applications
5. The outcome of one event is not affected by the outcome of previous events
6. The outcome of one event depends on the outcome of previous events
7. When the order doesn't matter: 123 is the same as 321
8. When the order does matter: 123 and 321 are two separate events
9. Dependent
10. Vocabulary
11. Formulas
12. Probability Range 0 ≤ P(A) ≤ 1
13. Rule of Complementary Events P(AC) + P(A) = 1
14. Rule of Addition P(A∪B) = P(A) + P(B) - P(A∩B)
15. Disjoint Events Events A and B are disjoint iff P(A∩B) = 0
16. Conditional Probability P(A | B) = P(A∩B) / P(B)
17. Independent Events Events A and B are independent iff P(A∩B) = P(A) · P(B)
18. Probability How likely something is to happen.
19. Experiment or Trial: an action where the result is uncertain.
20. Sample Space: all the possible outcomes of an experiment
21. Event: a single result of an experiment