GGR270H1 Chapter Notes - Chapter 3: Sample Space, Random Variable, Hypergeometric Distribution
Document Summary
Chapter 3 variability and discrete probability distributions. Sample space: a set of all possible outcomes: recent move = 1; longer-term residents = 0, individual outcomes: simple events or sample points. Random variables: there is a quantity of interest associated with each. Probability: associated with each possible outcome in a sample space. Assign probabilities on the basis of possible outcome (0 1: relative frequencies (ex: 65/100, subject beliefs. Assign each of the n possible outcomes a probability of 1/n. P ( a b)=p ( a ) p(b: the probability that both a and b occur (a and b) Binomial processes and the binomial distribution binomial variable distribution the binomial formula. Binomial process: the number of households who are newcomers is a. Probability that it takes on a particular value is given by the binomial. Probability that the random variable, designated x, is equal to 2, using pr( x =2)=(4 (4.
