| A | B |
|---|
| Addition Rule | A method for finding the probability that either or both of two events occurs. P(A or B)=P(A) + P(B). |
| Combination | A selection of objects from a collection. Order is irrelevant. |
| Conditional Probability | A probability that is computed based on the assumption that some event has already occurred. |
| Dependent Events | Two or more events in which the outcome of one event does affect the outcome of the other event or events. |
| Expected Value | A quantity equal to the average result of an experiment after a large number of trials. |
| Experimental Probability | The ratio of the number of times an outcome occurs to the total amount of trials performed. |
| Independent Events | Events whose outcomes do not influence each other. |
| Interquartile Range | The difference between the 25th and the 75th percentile in a data set. |
| Mean | The sum of the numbers in a set of data divided by the number of pieces of data. This is what we usually call "average." |
| Mean Deviation | the mean of the absolute deviations of a set of data about the data's mean. |
| Median | The number in the middle of a set of data when the data are arranged in order. |
| Mode | The number that occurs most frequently in a set of numbers. |
| Multiplication Rule | A method for finding the probability that both of two events occur. P(A and B)=P(A)P(B) |
| Mutually Exclusive Events | Events that have no outcomes in common. |
| Permutation | A selection of objects in which the order of the objects matters. |
| Population | The entire set of items from which data can be selected. |
| Quartiles | the numbers that split the data into quarters when data in a set are arranged in order. |
| Random Sample | A sample chosen from a population such that each data unit in the population has an equal chance of being chosen each time. |
| Sample Space | The set of all possible outcomes from an experiment. |
| Theoretical Probability | The mathematical calculation that an event will happen in theory. |
