(WSU, Vancouver. Fall, 2006)
Author: Umesh, U.N.
Source: Washington State University, Vancouver
The purpose of the course is to provide students with a practical understanding of statistical phenomena. Students will be made to go through statistical equations and their manipulations as a precursor to applying them to practical situations. It is not possible to have an intuitive understanding of a confidence interval without first deriving the formula for a confidence interval. However, if your knowledge is restricted to the formula for confidence intervals, you will never be comfortable relating complex workplace experiences to the conceptual principles behind confidence intervals. Hence, it is necessary part of the course to learn basic tools for forecasting market conditions that influence the organization's strategic decisions. Both quantitative and judgment-based methods are explored. In addition, simple statistical tools that can be used to understand and manage stakeholder relationships are explored. Basic time series and regression models to forecast sales and other variables will be covered in the course. Further applications will be in Total Quality Management. Newer concepts such as Customer Relationship Management and judgment-based tools will be discussed so as to get a broader picture of statistical applications. As you go through the course, ask yourself the question: How does this statistical concept relate to everyday phenomena encountered on and off the job? To help you familiarize yourself with the statistical concepts, a number of in-class and out-of-class assignments will be handed out. Remember: It is impossible to do well in a statistics class without working out a large number of exercise problems. Faculty: Login to access a PDF of this syllabus.
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