Statistics Archive 2020-2021

MATH-128 or higher. REMINDER: STATS-240 satisfies the pre-requisite for MKT-220, FIN-200, ISOM-201 (pre-req for ISOM-319), ISOM-230 (pre-req for ISOM-330), ISOM-231, and ISOM-330

4.00

Introduction to statistics and application to statistical analysis by using real-world data. Topics include: data presentation, measures of central locations and dispersion, probability, discrete and continuous probability distributions, sampling and sampling distribution, estimation, hypothesis testing with applications, simple and multiple regression models. The use of Excel and SPSS will be emphasized throughout the lab class. Normally offered each semester, this course meets 4 hours each week. STATS 240 satisfies the same requirements as STATS 250

MATH-128 or higher, GPA of 3.3 or higher, honors students only

4.00

The course is designed, based on the STATS 240 curriculum, to deepen course materials and cover broader statistics topics and applications to real-world statistical analysis. The honors course also adds a heavier weight on software labs for students to earn hands-on experiences with data analysis. (STATS-H240 satisfies the same requirements as STATS-240 & STATS-250) Topics include: data presentation, measures of central locations and dispersion, probability, discrete and continuous probability distributions, sampling and sampling distribution, estimation, hypothesis testing with applications, simple and multiple regression models with statistical inference. The use of Excel and SPSS will be emphasized via software lab projects throughout the course.

MATH-128 or higher

4.00

Application of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions including binomial and normal distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analysis. The use of computers is emphasized throughout the course. Normally offered each semester.

MATH-128 or higher. 3.3 GPA or higher required.

4.00

Application of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions including binomial and normal distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analyses. The use of computers is emphasized throughout the course. Prerequisite: MATH 130, MATH 134, MATH 146, or MATH 165 Honors Course GPA of 3.2 or higher required. 1 term - 4 credits Normally offered every year.