In this chapter you will learn about Experimental and Theoretical probability, Dependent and Independent events, solving problems involving compound events and making decisions based on probability or judgment.
Experimental Probability:
The numerical measure of the likelihood that an event, E, will happen based on results from an experiment. P(E) = number of trials occurred
total number of trials
Theoretical Probability :
The numerical measure of the likelihood that an event, E, will happen. P(E) = number of favorable outcomes
total number of possible outcomes
Independent Events:
Two or more events whose outcomes do not affect each other.Independent Events are not affected by previous events.
Dependent Events:
Two or more events whose outcomes affect each other.
Compound events:
An event that contains several events. For example, when choosing a new bicycle, the type of brakes are one event, and color is another event.
Experimental Probability:
The numerical measure of the likelihood that an event, E, will happen based on results from an experiment. P(E) = number of trials occurred
total number of trials
Theoretical Probability :
The numerical measure of the likelihood that an event, E, will happen. P(E) = number of favorable outcomes
total number of possible outcomes
Independent Events:
Two or more events whose outcomes do not affect each other.Independent Events are not affected by previous events.
Dependent Events:
Two or more events whose outcomes affect each other.
Compound events:
An event that contains several events. For example, when choosing a new bicycle, the type of brakes are one event, and color is another event.