PSYC 2020 Lecture Notes - Lecture 6: Set Theory
Document Summary
Probability: what is probability, probability and the normal distribution, the unit normal table, inferential statistics. What is probability: the likelihood (expressed as a fraction, proportion, or percentage) that a specific event will occur. We can calcualte it, we can come p with a number. Starts out as a fraction: the glue that binds sample statistics to population parameters. We are transitioning to inferential stats we are taking data from sample we are not really interested int he sample staticis probability of a = (# of outcomes classified as a) / (total # of possible outcomes) Out of an entire deck of cards, what proportion are aces? p(ace) = 4/52 = 0. 08 = 8% Minimum is always 0. 0 (the event never occurs) Maximum is always 1. 0 (the event always occurs) Rules of probability: the addition rule, the multiplication rule, conditional probabilities, set theory. Defined by formula or by proportion (%) of scores under the curve.