STAB22H3 Study Guide - Final Guide: Descriptive Statistics, Type I And Type Ii Errors, Confidence Interval

• School: UTSC
• Department: Statistics
• Course: STAB22H3
• Professor: Mahinda Samarakoon

Document Summary

Probability: the probability p(a) of any event a satisfied 0 (cid:1095) p(cid:894)a(cid:895) (cid:1095) (cid:1005) 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)