Chapter 15 Chapter

12345678910
Across
  1. 3. Probability, P(B|A)= P(A intersection B)/ P(A).
  2. 6. P(B|A) = P(B) when A and B are independent.
  3. 8. Events, This happens to two events if they have no outcomes in common.
  4. 9. Diagram, A display of conditional events or probabilities that is helpful in thinking through conditioning.
  5. 10. Space, the collection of all possible outcome values, it has a probability of 1.
Down
  1. 1. Rule, If A and B are independent events, then the probability of A and B is P(A intersection B)= P(A)X P(B).
  2. 2. Two events are independent if knowing whether one event occurs does not alter the probability that the other event occurs.
  3. 4. Multiplication Rule, For any two events, A and B, the probability of A and B is P(A intersection B)= P(A)X P(B|A).
  4. 5. Rule, If A and B are disjoint events, then the probability of A or B is P(A union B)= P(A)+P(B.
  5. 7. Addition rule, for any two events, A and B, the probability of A or B is P(A union B)= P(A)+P(B)-P(A intersection B).