Advanced Statistics - Biology 6030

Bowling Green State University, Fall 2017

Review: Probability


Probability Distribution

Depending on the number of possible outcomes we can obtain measures for the likelihood of a particular outcome from a distribution. Such distributions can take on many shapes


Discrete Distributions

A variety of distributions are used to describe discrete outcomes that model numbers of events (e.g., coin-flipping, dice throwing, or the number and probabilities of DNA base pair changes in molecular biology.

Continuous Distribution

Continuous outcome: As the sample size for ordinal outcomes approaches infinity, probabilities can be obtained for an infinite number of possible outcomes. <Probability Density Function>: a function defined on a continuous interval so that the area under the curve (and above the x-axis) described by the function = 1.

last modified: 01/25/02
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