Terms : Hide Images
| 8353598732 | Probability | A number between 0 and 1 that reports the likelihood of the event's occurrence. | 0 | |
| 8353598733 | Trial | A single attempt | 1 | |
| 8353598734 | Outcome | Value measured, observed, or reported for an individual instance of the trial | 2 | |
| 8353598735 | complement of A | 1-P(A) | 3 | |
| 8353598736 | Independence | If knowing whether one event occurs does not alter the probability that the other event occurs. | 4 | |
| 8353598737 | Law of Large Numbers | Long-run relative frequency of repeated independent events becomes close to actual frequency as number of trials increases. | 5 | |
| 8353598738 | Disjoint (Mutually Exclusive) | They share no outcomes in common. | 6 | |
| 8353598740 | Multiplication Rule of Independent Events | P(A) * P(B) | 7 | |
| 8353598741 | Sample Space | The collection of all possible outcome values | 8 | |
| 8353598742 | Conditional Probability | P(B | A) = P(A intersect B)/P(A) | 9 | |
| 8353598743 | Law of Averages | A flawed way of thinking that if an event doesn't happen for a while that it is due to occur soon. | 10 | |
| 8353598747 | Probability Distribution | Lists all possible outcomes of a random event and each outcome's probabilities | 11 | |
| 8353598748 | disjoint | aka mutually exclusive | 12 | |
| 8353598749 | P(at least 1) | 1-P(none) | 13 | |
| 8353598750 | venn diagram | a helpful diagram to draw when you have events that are not mutually exclusive. | 14 | |
| 8353598751 | Two Way Table | A table that lists counts for 2 categorical variables that is helpful with conditional probabilities. | 15 | |
| 8353598752 | P(A|B) | Probability of event A given that event B occurs. | 16 | |
| 8353598753 | Tree Diagram |  | 17 |
