GGR270H1 Lecture Notes - Lecture 3: Binomial Theorem, Poisson Distribution, Sample Space
7 Sep 2016
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Document Summary
Sample space: of an experiment is the set of all possible outcomes of that experiment. Random variable: the set of values is a random variable. Probability: number of possible values / number of possible outcomes (e. g. 2 (heads or tails = 2) / 1 (one toss) = ) 3. 2. 1 binomial experiment is a statistical experiment that has the following: number of trails. Each trail can result in two possible outcomes (we call one outcome a success and the other failure) Probability of each outcome is known and consistent. A binomial random variable is the number of successes in repeated trails of a binomial experiment. The probability distribution of binomial random variable is called a binomial distribution. Each item can take on only one of 2 values (, not ) = mean number of successes in a given time period.
