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.

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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, (13^th 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.