Course description: Although statistical methods have become the analytical methods of choice in areas as diverse as biomedical and environmental sciences, geophysics, education, psychology, sociology, political science, physics, astronomy, and communications, they are often misunderstood and misused.
This course introduces students to the principles of mathematical statistics (estimation theory and hypothesis testing theory) and to data analysis. Appropriate applications of the principles are emphasized throughout the course.
MT427 is the second course in a three-semester mathematical statistics sequence. Prerequisites include a calculus-based course in probability theory at the level of MT426, and a familiarity with using the computer to solve mathematics problems.
Fall 2009 course information: Materials will be drawn from the text Mathematical Statistics and Data Analysis, Second Edition by UC Berkeley Professor John Rice (Duxbury Press, 1995) and from my ASA-SIAM text.
Course notes (9/8): notebook01, notebook02, notebook03, notebook04, notebook05.
Syllabus (important information you need to know; 9/8).
Homework assignments: hw01 (due 9/18), hw02 (due 9/25), hw03 (due 10/5), hw04 (due 10/16), hw05 (due 10/30), hw06 (due 11/9), hw07 (due 11/18), hw08 (due 12/04),
Email messages: greetings (email01, 9/8), h1n1 process (email02, 9/27), schedule changes (email03, 10/20),
Additional Information: Overview of computer commands (MMAOverview, 9/4), course introduction (lecture01, 9/8), first lab class plus answers to please complete parts (LabClass01, LabAns01, 9/16), second lab class plus answers to please complete parts (LabClass02, LabAns02, 9/16), overview for first exam (overview01), information sheet for first exam (infoSheet), overview for second exam (overview2),