PSYC 202 Chapter 6: PSYC202 Chapter 6 Probability.docx
Document Summary
Random sampling: random sample: each individual has an equal chance of being selected, and this probability must stay constant from one selection to the next, probability definition cannot be applied in situations where the possible to keep the probabilities from changing outcomes are not equally likely, sampling with replacement: from one selection to the next, it is necessary to return each individual to the population before you make the next selection (ex. Binomial distribution: the probability associated with each value of x from x=0 to x=n: the 2 categories are designated a & b, the probabilities associated with each category are: p= p(a) = probability of a q = p(b) = probability of b p+q=1. 00 because a & b are the only 2 possible outcomes, number of individuals/observations in sample = n, x refers to the number of times category a occurs in sample.