PSY201H1 Lecture Notes - Lecture 6: Virtually Normal, Central Limit Theorem, Standard Deviation
Document Summary
Three axioms of probability: the probability of any event is between 0 (no chance of occurring) and 1 (100% chance of occurring) The sum of all possible outcomes equals 1 (e. g. , coin flip has two outcomes, probability of each is + = 1) If event a is a subset of event b, then the probability of a must be less than the probability of b. An event that is within another event will have a lower probability than the original event. Classical probability - deals with a finite set of equally likely outcomes. Subjective measure of belief that a particular event will occur. If we know the makeup of a population, we can determine the probability of obtaining specific samples. Related to inferential statistics you extract inferential statistics from probability. This definition of probability requires that: each individual in the population has an equal chance of being selected, probabilities must stay constant from one selection to the next.
