STAT 2607 B - Business Statistics II

Web course

Topics include: experimental design, multiple regression and correlation analysis, covariance analysis, and introductory time series. Use of computer packages. Restricted to students in the School of Business.
Includes: Experiential Learning Activity
Precludes additional credit for STAT 2509, ECON 2202, ECON 2220.
Prerequisite(s): STAT 2606.
Distance lab must be arranged with the Instructor.

Generally speaking, statistics is often viewed as a mathematical science that comprises the collection, analysis, and interpretation of data. Upon successful completion of the two half-credit courses (2606 and 2607), you'll have mastered the methods and skills necessary to apply appropriate statistical techniques to solve real-world problems. Specifically, once exposed to an actual applied problem, you'll be able to diagnose the situation, and recognize the methods to be used for its resolution. The emphasis lies not only on implementing these methods, but also understanding their development and their limitations. For example, you'll know how to verify the assumptions necessary to validate the use of the procedures applied. Identifying limitations often leads to natural generalizations and extensions that further comprehension. You'll be able to communicate your results in the context of the problem under consideration in a clear, concise, and rigorous manner, and understand the difference between practical significance and statistical significance. The enhancement of computational skills and deep exposure to statistical software will also be achieved.

CRN for section B: 15073

Instructor: Patrick Farrell

Patrick Farrell

About the instructor: As a young child growing up in Montreal, I became captivated by baseball when the city was granted a major league franchise in 1969. I also loved mathematics, and instantly became engrossed by the plethora of statistics that were recorded in the sport, from batting average for hitters to earned run average for pitchers. Over time, my interest in statistics grew, and as I studied engineering, business, and other fields, I came to view the discipline as universally applicable.

My fascination with business applications led me to pursue a Master's degree in business administration. I greatly enjoy teaching Business Statistics, as it affords me the opportunity to illustrate many of the important uses of statistics in the wide array of fields encompassed by business and management.

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