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