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
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)