STAB22H3 Study Guide - Final Guide: Standard Normal Deviate, Standard Deviation, Sampling Distribution
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STAB22H3 Full Course Notes
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Probability: the probability p(a) of any event a satisfied 0 p(a) 1. If s is the sample space in a probability model, the p(s) = 1. Two events a and b are disjoint if they have no outcomes in common and so can never occur together. If a and b are disjoint: p(a or b) = p(a) + p(b) The complement of any event a is the event that a does not occur: p(ac) = 1 p(a) If a random phenomenon has k possible outcomes, all equally likely, then each individual outcome has probability 1/k. The probability of any event a is: p(a) = count of outcomes in a / count of outcomes in s = count of outcomes in a / k. Two events a and b are independent if knowing that one occurs does not change the probability that the other occurs. A and b are independent: p(a and b) = p(a)p(b)
