Crash Course on Basic Statistics

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Crash Course on Basic StatisticsMarina Wahl, of New York at Stony BrookNovember 6, 20132Contents1 Basic Basic Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Probability of Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bayes Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .62 Basic Types of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Errors.

Basic Probability 1.1 Basic De nitions Trials? Probability is concerned with the outcome of tri-als.? Trials are also called experiments or observa-tions (multiple trials).? Trials refers to an event whose outcome is un-known. Sample Space (S)? Set of all possible elementary outcomes of a trial.? If the trial consists of ipping a coin twice, the

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