Statistical Inference/Probability Theory: Difference between revisions
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=== Theorem 1.1.4 - Event Operations === | === Theorem 1.1.4 - Event Operations === | ||
== Basics of Probability Theory == | |||
== Conditional Probability and Independence == | |||
== Random Variables == | |||
== Distribution Functions == | |||
== Density and Mass Functions == | |||
[[category:Statistics]] | [[category:Statistics]] | ||
[[category:Statistical Inference]] | [[category:Statistical Inference]] | ||
Revision as of 18:16, 25 July 2018
Set Theory
Definition 1.1.1 - Sample Space
The set, S, of all possible outcomes of a particular experiment is called the sample space for the experiment.
Definition 1.1.2 - Event
An event is any collection of possible outcomes of an experiment, that is, any subset of S (including S itself).