Listed in: Mathematics and Statistics, as MATH-370 | Mathematics and Statistics, as STAT-370
Amy S. Wagaman (Section 01)
(Offered as STAT 370 and MATH 370) This course examines the theory underlying common statistical procedures including visualization, exploratory analysis, estimation, hypothesis testing, modeling, and Bayesian inference. Topics include maximum likelihood estimators, sufficient statistics, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models.
Requisite:
Student has completed or is in the process of completing: STAT 111 or MATH/STAT 135 or STAT136 or has STAT 230 placement, and STAT/MATH 360, or has consent of the instructor. Limited to 25 students. Spring semester. Professor Wagaman.
How to handle overenrollment: Priority for Statistics majors, then Mathematics majors.
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, quizzes or exams, group work, use of computational software
Section 01
M 12:00 PM - 12:50 PM SMUD 205
W 12:00 PM - 12:50 PM SMUD 205
F 12:00 PM - 12:50 PM SMUD 205
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Mathematical Statistics with Applications, 7th Edition | Cengage | Wackerly, Mendenhall, Scheaffer | TBD |