Basic probability concepts, random variables, descriptive measures, properties of distributions, statistical decision theory and Bayesian approaches are introduced. Discrete and continuous probability models and their applications to business problems are also covered.The minimum requirement for consideration is a Master's degree or equivalent in a field relevant to the topic area or an undergraduate degree combined with a professional certification in an appropriate field. Previous experience teaching in a university environment is considered an asset.Please take note of the following:Professor Rolyne Butler
