DSCI 2710 7th Edition Lecture 7 Outline of Last Lecture I. Basic Laws of ProbabilityOutline of Current Lecture II. ProbabilityCurrent LectureP(M) = .20P(E) = .30P(MᴖE) = .10Random Variable – a function that assigns a numerical value to each outcome of an experiment.ProbabilityTTTTHTTTHHTTHHTHTHThese notes represent a detailed interpretation of the professor’s lecture. GradeBuddy is best used as a supplement to your own notes, not as a substitute. M M 20 8010 20 10 60EE 3070THHHHH 8 outcomesEx. The probability of having 3 H’s is 1/8.For every probability math function ideal with know how to calculate mean, std dev and variance. Know the center and how it varies (remember to put this on memory enhancement
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