Complementary Events - For every probability that something will happen, there is a probability that it won’t happen. These two ratios are complementary events..

Compound events - Compound events are two simple events occurring together, usually expressed as and . $P(A \ and \ B)=P(A) \cdot P(B)$

Dependent events - Events that do depend upon each other are called dependent events.

Event - Any one possible outcome of the experiment is called an event.

Experiment - An experiment is a controlled study.

Experimental probability - The ratio of the proposed outcome to the number of experiment trials is called the experimental probability.

Independent Event - An independent event is an event where the outcome of one event does not have anything to do with the outcome of another event. One does not alter or impact the other.

Mutually exclusive - Events that cannot happen at the same time. Find the probability of mutually exclusive events by: P(A or B) = P(A) + P(B)

Mutually inclusive - Event that can occur at the same time. Find the probability of mutually inclusive events: $P(A \ or \ B)=P(A)+P(B)-P(A \cap B)$

Odds in favor of an event - The ratio of the number of successful events to the number of non-successful events is called the odds of an event.

Outcomes - The end result is called the outcome.

Permutation - A permutation is an arrangement of options where order does make a difference.

Probability - The probability that something will happen are the chances that something will happen. It can be written as a fraction, decimal, or percent.

Probability simulation - Conducting an experiment for probability purposes is also called probability simulation.

Ratio - Ratios compare two quantities. In probability the ratio compares the number of favorable outcomes to the number of possible outcomes.

Sample Space - The set of all possible outcomes is called the sample space of the experiment.

Theoretical probability - Theoretical probability is a ratio expressing the ways to be successful to the total events in an experiment.

Tree diagrams - A tree diagram is a visual way of showing options and variables in an organized way. The lines of a tree diagram look like branches on a tree.

Venn diagram - A Venn diagram is a diagram of overlapping circles that shows the relationships among members of different sets.