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.
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
|Descriptive statistics including graphical and numerical methods||
|Basic probability: sample space, laws of probability, conditional probability, tree diagram, independence||
|Discrete random variables, mean and variance, binomial distribution||
|Continuous random variables, normal distribution||
|Sampling distributions of sample mean and sample proportion, central limit theorem||
|Point and confidence interval estimation of mean and population, t distribution||
|One sample hypothesis tests for mean and proportion, p-values||
|Comparing two treatments, independent and dependent sample designs||
|Simple linear regression and correlation||
|Chi-Square statistics, 2 or more populations, independence||
|Nonparametric methods, independent and dependent designs||
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