QMS 102 Study Guide - Quiz Guide: Random Variable, Probability Distribution, Poisson Distribution

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Gunawardena Egodawatte

Document Summary

Probability: the chance that an uncertain event will occur (always between 0 and 1) Impossible event: an event that has no chance of occurring (probability = 0) Certain event: an event that is sure to occur (probability = 1) Joint-an event described by two or more characteristics. E(cid:454). (cid:894)da(cid:455) i(cid:374) ja(cid:374)ua(cid:396)(cid:455) that(cid:859)s also a wed(cid:374)esda(cid:455) th(cid:396)ough the (cid:455)ea(cid:396)(cid:895) Complement of event a (a(cid:859)) all events that are not part of a. E(cid:454). (cid:894)a is a da(cid:455) i(cid:374) ja(cid:374)ua(cid:396)(cid:455), a(cid:859) is all othe(cid:396) da(cid:455)s i(cid:374) the ja(cid:374)ua(cid:396)(cid:455)(cid:895) Sample system- the collection of all possible outcomes. Contingency table (decision trees)- for all days in the year. Simple probability-refers to the probability of a simple event. Joint probability-refers to the probability of an occurrence of two or more events. The probability of a joint event, a and b: P(a and b)= number of outcomes satisfying a and b. Conditional probability- is the probability of one event, given that another event has occurred.