Match the Key Term with its Definition
| Draggable item | arrow_right_alt | Corresponding Item |
|---|---|---|
Outcome | arrow_right_alt | The set of all possible outcomes of a probability experiment |
Dependent Event | arrow_right_alt | a subset of the sample space consisting of one or more outcomes |
Range of Probabilities | arrow_right_alt | the result from a single trial in a probability experiment |
Fundamental Counting Principle (FCP) | arrow_right_alt | an event that consists of a single outcome |
Conditional Probability | arrow_right_alt | when events happen in sequence, you can multiply the number of outcomes from each of the the events to determine the total possible number of outcomes. |
Law of Large Numbers | arrow_right_alt | = (# ways you can get desired outcome)/(# total possible outcomes) |
Event | arrow_right_alt | = relative frequency from a probabilty experiment |
Simple Event | arrow_right_alt | As the number of trials in an experiment is increased, the experimental probability beomes closer and closer to the theoretical probability |
Classical Probability | arrow_right_alt | Probabilites must be equal to or greater than 0 and less than or equal to 1. |
Sample space | arrow_right_alt | Is the probability of any other outcome occurring other than the known probability |
Multiplication Rule | arrow_right_alt | The probability of an event, given that another event has already occurred |
Complement of an Event | arrow_right_alt | If the probability of event A is unchanged, given that event B already occurred. |
Independent Event P(A) = P(A/B) | arrow_right_alt | If the probability of event A changes, given that event B already occurred. |
Empirical Probability | arrow_right_alt | If events occur in sequence, the probability of them occurring one after the other can be determined by multiplying the probabilities of each event together. |