Stat 311 – Introduction to Theory and Methods of
Mathematical Statistics I
Spring 2016
Lec 1: TR 9:30-10:45,
Birge B302
Lec 2: TR, 1:00-2:15,
Grainger 2080
Theory
Experiment
Ismor Fischer, Ph.D.
Dept. of Statistics, Med Sci Ctr
1300 University Ave, Rm 1227
(26)2-3851, ifischer@wisc.edu
Office Hrs TR 11-12, 2:30-3:30, or by appt
Text: Probability and Statistics for Engineering and the Sciences, by Jay L.
Devore, 9th edition only, Cengage Learning, 2016. Lecture Notes available on
website http://www.stat.wisc.edu/~ifischer/Intro_Stat/.
Course Objective: To provide students with a mathematical understanding
and basic working knowledge of the concepts and techniques used in statistics,
for professional research applications and journal article evaluation. Details
Course Grades: Determined by homework assignments and exams, via the
following breakdown.
~ Week 6
Exam 1 (in class) = 100 pts
(20%)
~ Week 12
Exam 2 (in class) = 100 pts
(20%)
Lec 1: M 5/9, 7:45-9:45
Lec 2: Th 5/12, 2:45-4:45
Final Exam
= 150 pts (30%)
Homework
= 150 pts (30%)
Total
= 500 pts
Knowledge of calculus is required.1 A scientific calculator (e.g., TI-84) is
highly recommended. Knowledge of statistical software (e.g., Minitab, SAS, S,
S-Plus, SPSS, STATA…) is NOT required, but R may occasionally be useful.2
1
Calculus a bit rusty? Click here for a short refresher.
2
R is free, downloadable software, made available
through http://cran.r-project.org/. If you wish to gain
some basic practice, read the following document.
http://www.stat.wisc.edu/~ifischer/Intro_Stat/Lecture_
Notes/Rcode/0._Getting_Started_with_R.pdf
Much of the course material overlaps with Stat 301.
http://www.stat.wisc.edu/~ifischer/Intro_Stat/stat301/
You may wish to skim through it; more on this later...