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Author:
Laura Kniffin

This learning packet includes:

New Terms and Definitions

An introduction of common terms in probability, and examples of how they are used

New terms and a video explaining the probability of an event.

Co-author: Sara Gorsuch

Tutorial

__ __** Experiment: **Is a situation involving chance or probability that leads to the results.

** Outcome: **Is the result of a single trial of an experiment.

** Event: **Is one or more outcomes of an experiment.

** Probability:** Is the measure of how likely and event is

** Sample Space: **The concept in probability theory, which considers all the possible outcomes for an event or experiment.

** Sample Point: **A single possible outcome that is a member of the sample space.

** Event:** Is any collection of outcomes in an experiment

** Mutually Exclusive: **Two events that cannot possibly occur together.

__Example:__ A subject cannot be both male and female, nor can they be age 20 and 30, but a subject could be both male and 30 or both female and 20.

__ All-Inclusive__: The entire population, the entire sample falls into one category.

__ Sampling With Replacement: __The two sample values are independent, which means what we get on the first one does not affect what we get on the second.

__Example:__ Rolling dice. (No matter what you get on the first roll, it does not affect what you can get on the second)

__ Sampling Without Replacement: __The two sample values are dependent, which means what we get on the first one affects what we can get for the second one.

__Example:__ If I were drawing colors out of a hat and there was a certain amount of each color inside, each time I take out a color it affects the probability of me getting that same color.

__ Random Sample__: A random portion of the population being analyzed.

Source: http://www.mathgoodies.com/lessons/vol6/intro_probability.html (8/5/2010)