STAT 2607 A - 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.

This course was funded by the Government of Ontario through the Shared Online Course Fund.

CRN for section A: 15065

Instructor: Wayne Horn

Wayne Horn

About the instructor: I fell in love with math at a very early age. I viewed it like a game with very clear rules, and I found it deeply satisfying that every math problem always had one correct answer. While in the second year of pursuing my honours B.A. in mathematics, I was required to take a course in probability and statistics as a requirement for my degree. Up to that point in my life, mathematics had painted me a picture of an ideal world where everything was certain. Probability and statistics showed me the other side of the coin by using mathematics to study the uncertainty that is inherent in almost every aspect of our lives. I quickly saw a topic that could not only help me to improve my poker game, but that could be used to make real-world decisions in every field imaginable! I love the fact that statistical analysis is so universally applicable because it affords me the ability to remain a student and continue learning about other areas of study where I can apply my knowledge.

I first experienced the satisfaction of helping others learn as a contract instructor while completing my Ph.D. in statistics at Western University. The first time I saw a student's look of confusion and frustration melt into a wide-eyed, open-mouth "Eureka! expression, I knew I wanted to be an educator for the rest of my life. I wanted to create an online version of a statistics course to challenge myself to grow as an educator. I know that the most effective way to learn isn't the same for every person, and I hope that creating an online version of a statistics course will offer a more convenient and effective way for some students to learn the material.

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