M2 Probability Review

Zero Probability

• An event will always occur

• An event will never occur

• The total outcomes of an event

• Two events have the same chance of occuring

Independent Events

• Events where the outcome of the first has no affect on the outcome of the second

• Set of all possible outcomes

• Events where the outcome of the first is affected by the second

• Events that overlap

Mutually Exclusive

• Events that overlap

• Set of all possible outcomes

• A type of event where the outcome of the first has no affect on the seond

• Events that cannot happen at the same time

Equally Likely

• Two events that have the same chance of occurring

• Events where the outcome of one is affected by the other

• Events that overlap

• Events that cannot happen at the same time

Conditional Probability

• Two events that have the same chance of occurring

• The probability that a second event will happen given that the first has already occurred

• A ratio expressed as the number of ways an event can occur

• A type of probability based on an experiement

Dependent Events

• Events where the outcome of the second is affected by the outcome of the first

• Two events that have the same chance of occurring

• Events that overlap

• Events where the outcome of the first has no effect on the outcome of the second

Theoretical Probability

• An event with a probability of one.

• Events that overlap

• A ratio expressed as the number of ways an event can occur divided by the sample space

• Set of all possible outcomes

Certain

• An event will never occur

• An event with a probability of one

• Set of all possible outcomes

• A ratio of the number of ways an event can occur divided by the sample space

Experimental Probability

• A type of probability that is based on the results of an experiment or survey

• An event with a probability of one

• Set of all possible outcomes

• Events that overlap

Mutually Inclusive

• Set of all possible outcomes

• An event that will never occur

• Events that overlap

• A ratio of the number of ways an event can occur divided by the sample space