201—Elementary Statistics. (3) (Prereq: MATH 111 or 115 or STAT 110, or consent of department) An introductory course in the fundamentals of modern statistical methods. Topics include descriptive statistics, probability, random sampling, tests of hypotheses, estimation, simple linear regression, and correlation.

Course Homepage: Recent Course Syllabus

Usually Offered: Fall, Spring, and Summer Semesters

Purpose: To give students from throughout the university 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. Minitab statistical software is used throughout the course.

Current Textbook: (AF) - Statistics: The Art and Science of Learning from Data (2nd ed.), by Agresti and Franklin, Pearson Education, Inc, 2009.

 

Topics Covered	Chapters	Time
Descriptive statistics including graphical and numerical methods	AF 1,2	2 weeks
Simple linear regression and correlation	AF 3	1.3 weeks
Basic probability: sample space, laws of probability, conditional probability, tree diagram, independence	AF 5	1 week
Discrete random variables, mean and variance, binomial distribution	AF 6	1 week
Continuous random variables, normal distribution	AF 6	1 week
Sampling distributions of sample mean and sample proportion, central limit theorem	AF 7	1.3 weeks
Point and confidence interval estimation of mean and population, t distribution	AF 8	1.7 weeks
One sample hypothesis tests for mean and proportion, p-values	AF 9	1.3 weeks
Comparing two treatments, independent and dependent sample designs	AF 9	2 weeks

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: TBD