STAT333 Lecture Notes - Lecture 1: Sample Space, Frequentist Probability, Set Function
Document Summary
Fundamentals of probability probability deals with randomness which comes from uncertainty. Repeatly toss a coin fraction of times that we get a h goes to z as of tosses go to. 2 a head will appear in 1 toss is not repeated probability models sample space d is the set consisting of all possible outcomes of a random experiment. Event e er is a subset of 1 for which we can talk about likelihood of happening. L2 4,6 is between o and 43 getting an even thepoint: 43 n cod we say an event e happens if the result of the experiment turns out to belong to e subset of. A probability from events to real s is a set function is a mapping. Et pce function satisfy 3 probability axioms l f e e ee o e rce el. 3 for countable many disjoint events e ez we have pieei.
