| A | B |
|---|
| The complement of E is denoted by | Ē (read "E bar") |
| Complement of an event | the event of not getting odd number; The complement of event E is the set of outcomes in the sample space that are not included in the outcomes of event E. |
| The outcomes of an event and the outcomes of the complement make up | the entire sample space |
| Rule for Complementary Events | If the probability of an event or the probability of its complement is known, then the other can be found by subtracting the probability from 1 |
| Probabilities can be represented pictorally by | Venn diagrams |
| Law of Large | When a probability experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability |
| Empirical Probability | The type of probability that uses frequency distributions based on observations to determine numerical probabilities of events |
| Subjective Probability | Uses a probability value based on an educated guess or estimate, employing opinions and inexact information |
| Two events are ____ _____ if they cannot occur at the same time (i.e., they have no outcomes in common). | mutually exclusive |
| Addition Rule 1 | When two events, A and B are mutually exclusive, the probability thta A or B will occur is P(A or B) = P(A) + P(B) |
| Addition Rule 2 | If A and B are not mutually exclusive, then P(A or B) =P(A) + P(B) - P(A and B) |
| When events are not mutually exclusive, | addition Rule 2 can be used to find the probability of the events |
| The probability of two of more events can be determined by | the addition rules |
| The first addition rule is used when | the events are mutually exclusive |
