OMIS 2010 Chapter Notes - Chapter 06: Ford Tempo, Mutual Exclusivity, Probability Distribution

• School: York University
• Department: Operations Management and Information System
• Course: OMIS 2010
• Professor: Alan Marshall

Document Summary

This chapter introduced the basic concepts of probability. It outlined rules and techniques for assigning probabilities to events. How to recognize when it is appropriate to use a poisson distribution, and how to use the table of. This section introduced the notion of a random experiment and described the outcomes, or events, that may result from such an experiment. When attempting to solve any problem involving probabilities, you should begin by defining the random experiment and the sample space. You are expected to know the meaning of the many new terms introduced in this section, such as simple event, mutually exclusive, exhaustive, union, intersection, and complement. This section also described procedures for assigning probabilities to events and outlined the basic requirements that must be satisfied by probabilities assigned to simple events. Probabilities can be assigned to the simple events (or, for that matter, to any events) using the classical approach, the relative frequency approach, or the subjective approach.