BUEC 232 Lecture Notes - Lecture 9: Random Variable, Multiple Choice, Poisson Distribution

• School: Simon Fraser University
• Department: Business Administration and Economics
• Course: BUEC 232
• Professor: bisher

Document Summary

Chapter 5, discrete probability distributions, please arrange yourselves in pairs for this lecture, midterm comments, covering chapters 1-4 and all lectures up to lecture 8. Do not rely entirely on lectures and slides: practice using odd numbered questions at the end of each chapter. (answers at end, definitions. ~45 multiple choice questions with focus on terminology and concepts. (some calculations) Exam will be held during normal class time in this room on thursday february 22. Random variables: a random numeric variable is a variable that represents a possible numerical value of an uncertain event selected from a probability distribution, discrete random variables produce outcomes that can only take specific values. Typically, these come from a counting process (e. g. number of classes a randomly selected student is taking): continuous random variables produce outcomes that can take values of any degree of pre(cid:272)isio(cid:374). Typi(cid:272)ally, these (cid:272)o(cid:373)e fro(cid:373) a (cid:373)easure(cid:373)e(cid:374)t (cid:894)e. g. a ra(cid:374)do(cid:373)ly sele(cid:272)ted perso(cid:374)(cid:859)s income, or weight).