BUEC 232 Lecture Notes - Lecture 10: Probability Distribution, Poisson Distribution, Random Variable

• School: Simon Fraser University
• Department: Business Economics
• Course: BUEC 232
• Professor: Andrew Flostrand

Document Summary

Exam will be held during normal class time in this room on thursday october 11. ~45 multiple choice questions with focus on terminology and concepts (some calculations) Have questions that consist of none of the above, all of the above, etc. Covering chapters 1-4 (except 3. 3) 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) Random numeric variable: 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) Discrete random variables: only specific values can be possible. Discrete probability distribution: list all of the outcomes in one columns and to the next of that column, you list the probability of those columns.