Not all courses described in the Course and Program Catalogue are offered each year. For a list of course offerings in 2024-2025, please consult the class search website.
The following conventions are used for course numbering:
- 010-099 represent non-degree level courses
- 100-699 represent undergraduate degree level courses
- 700-999 represent graduate degree level courses
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9 Results
STAT 341.3: Probability and Stochastic Processes
Random variables and their distributions; independence; moments and moment generating functions; conditional probability; Markov chains; stationary time-series.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): STAT 241.
STAT 342.3: Mathematical Statistics
Probability spaces; conditional probability and independence; discrete and continuous random variables; standard probability models; expectations; moment generating functions; sums and functions of random variables; sampling distributions; asymptotic distributions. Deals with basic probability concepts at a moderately rigorous level.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): MATH 225 or 276; STAT 241 and 242.
Note: Students with credit for STAT 340 may not take this course for credit.
STAT 344.3: Applied Regression Analysis
Applied regression analysis involving the extensive use of computer software. Includes: linear regression; multiple regression; stepwise methods; residual analysis; robustness considerations; multicollinearity; biased procedures; non-linear regression.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): STAT 242 or STAT 245 or STAT 246.
Note: Students with credit for ECON 404 may not take this course for credit.
STAT 345.3: Design and Analysis of Experiments
An introduction to the principles of experimental design and analysis of variance. Includes: randomization, blocking, factorial experiments, confounding, random effects, analysis of covariance. Emphasis will be on fundamental principles and data analysis techniques rather than on mathematical theory.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): STAT 242 or STAT 245 or STAT 246.
STAT 346.3: Multivariate Analysis
The multivariate normal distribution, multivariate analysis of variance, discriminant analysis, classification procedures, multiple covariance analysis, factor analysis, computer applications.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): MATH 164 (formerly MATH 264) or MATH 266, STAT 241, and one of STAT 344 or STAT 345.
STAT 348.3: Sampling Techniques
Theory and applications of sampling from finite populations. Includes: simple random sampling, stratified random sampling, cluster sampling, systematic sampling, probability proportionate to size sampling, and the difference, ratio and regression methods of estimation.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): STAT 242 or STAT 245 or STAT 246.
STAT 349.3: Time Series Analysis
An introduction to statistical time series analysis. Includes: trend analysis, seasonal variation, stationary and non-stationary time series models, serial correlation, forecasting and regression analysis of time series data.
Weekly hours:
3 Lecture hours and 1 Practicum/Lab hours
Prerequisite(s): STAT 241, and STAT 344 or 345.
STAT 398.3: Special Topics
Offered occasionally by visiting faculty and in other special situations to cover, in depth, topics that are not thoroughly covered in regularly offered courses.
Weekly hours:
3 Seminar/Discussion hours
STAT 399.6: Special Topics
Offered occasionally by visiting faculty and in other special situations to cover, in depth, topics that are not thoroughly covered in regularly offered courses.
Weekly hours:
3 Seminar/Discussion hours