Statistics

Statistics Courses

No major or minor offered. Selected courses in statistics are available each semester.

Statistics Courses

Prerequisites:

MATH-128 or higher

Credits:

4.00

Description:

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

Prerequisites:

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

Credits:

4.00

Description:

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.

Prerequisites:

MATH-128 or higher

Credits:

4.00

Description:

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.

Prerequisites:

MATH-128, MATH-130, MATH-134, MATH-164 or MATH-165 and Honors Course; GPA of 3.3 or higher

Credits:

4.00

Description:

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.