Skip to Content

College of Arts & Sciences
Department of Statistics


STAT 206

206—Elementary Statistics for Business. (3) (Prerequisites: MATH 111 or higher, or consent of department) An introduction to fundamental statistical methods with applications in business.  Topics include descriptive statistics, probability, inference, linear regression, and ANOVA.

Course Homepage:

Usually Offered: Fall and Spring Semesters

Purpose: To give students in business fields a non-calculus based introduction to the application of modern statistical methods including descriptive and inferential statistics. To show students that statistics is an important research tool within business.

Current Textbook: (BLS) Basic Business Statistics, (13th Edition), Berenson M.L., Levine, D.M., and Szabat, K.A. with MyStatLab Access Code: ISBN-9780133869460

 

Topics Covered
Chapters
Time
Descriptive statistics including graphical and numerical methods
BLS 1,2,3
2 weeks
Basic probability: sample space, laws of probability, conditional probability, tree diagram, independence
BLS 4
0.7 weeks
Discrete random variables, mean and variance, binomial distribution
BLS 5
0.7 weeks
Continuous random variables, normal distribution
BLS 6
1 week
Sampling distributions of sample mean and sample proportion, central limit theorem
BLS 7
1.3 weeks
Point and confidence interval estimation of mean and population, t distribution
BLS 8
1.3 weeks
One sample hypothesis tests for mean and proportion, p-values
BLS 9
1.3 weeks
Comparing two treatments, independent and dependent sample designs
BLS 10
2 weeks
Simple linear regression and correlation
BLS 13
1 week
Chi-Square statistics, 2 or more populations, independence
BLS 12
0.7 weeks
Nonparametric methods, independent and dependent designs
BLS 12
1 week
 

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Gail Ward-Besser