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Summary of basic probability theory Math 218, …

Summary of basic probability theoryMath 218, mathematical StatisticsD Joyce, Spring 2016 Sample spaceconsists of aun-derlyingset , whose elements are calledoutcomes,a collection of subsets of calledevents, and afunctionPon the set of events, called aprobabilityfunction, satisfying the following The probability of any event is a number inthe interval [0,1].2. The entire set is an event with probabilityP( ) = The union and intersection of any finite orcountably infinite set of events are events, and thecomplement of an event is an The probability of a disjoint union of a finiteor countably infinite set of events is the sum of theprobabilities of those events,P( iEi) = iP(Ei).From these axioms a number of other propertiescan be derived including The complementEc= Eof an eventEisan event, andP(Ec) = 1 P(E).

Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016 Sample space. A sample space consists of a un-derlying set , whose elements are called outcomes, a collection of subsets of called events, and a function Pon the set of events, called a probability

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