Chapter 9 - Probability: Vocabulary
Fundamental Counting Principle
Uses multiplication of the number of ways each event in an experiment can occur to find the number of possible outcomes in a sample space.
Complementary Events
The events of one outcome happening and that outcome not happening. The sum of the probabilities of an event and its complement is 1 or 100%. In symbols, P(A) + P(not A) = 1.
Outcome
Any one of the possible results of an action. For example, 4 is an outcome when a number cube is rolled.
Tree Diagram
A diagram used to show the sample space.
Fair [Game]
A game where each player has an equally likely chance of winning.
Unfair [Game]
A game where there is not a chance of each player being equally likely to win.
Simulation
A mathematical experiment that approximates a real-world process.
Uniform Probability Model
A probability model which assigns equal probability to all outcomes.
Relative Frequency
A ratio that compares the frequency of each category to the total.
Permutation
An arrangement, or listing, of objects in which order is important.
Experimental Probability
An estimated probability based on the relative frequency of positive outcomes occurring during an experiment. It is based on what actually occurred during such an experiment.
Compound Event
An even consisting of two or more simple events.
Simple Event
One outcome or a collection of outcomes.
Random
Outcomes occur at random if each outcome occurs by chance. For example, rolling a number on a number cube occurs at random.
Probability
The chance that some event will happen. It is the ration of the number of favorable outcomes to the number of possible outcomes.
Theoretical Probability
The ration of the number of ways an event can occur to the number of possible outcomes. It is based on what should happen when conducting a probability experiment.
Sample Space
The set of all possible outcomes of a probability experiment.
Independent Events
Two or more events in which the outcome of one even does not affect the outcome of the other event(s).
Dependent Events
Two or more events in which the outcome of one event affects the outcome of the other event(s).