School of Data Intelligence and Technology
Undergraduate

Term: Spring 2027
Session: Full Term (Jan 19 - May 07)
Start Date: Tuesday, Jan 19, 2027
End Date: Friday, May 07, 2027
Availability: On Campus
Day(s): Mon./Wed./Fri.
Time: 11:00 AM to 11:50 AM

This course introduces the students to the application of statistical methodology in business education and science. The first part of the course deals with the efficient collection organization and description of data commonly referred to as descriptive statistics. Several techniques for describing the data graphically and numerically will be covered. Basic concepts of probability theory are covered next. Then the second part of the course focuses on statistical inference the process of drawing conclusions about unknown characteristics of a population from which the data were taken. Interval estimation and hypothesis testing will be discussed in detail. The course also includes predictive statistics with its purpose to develop predictions of future values based on historical data using correlation and regression analysis. Finally the course covers goodness-of-fit and contingency table analysis. In this course students will learn to use Excel and R to solve statistical problems. Students will complete a project as part of their coursework.Pre-req: MATH 1010 or MATH 1020 or MATH 1050 or MATH 2040 and admission to the University Honors Program