Statistics Graduate Courses

Some courses may not be offered every year. Check with the college or department office for current information about when specific courses are offered.  

 

For course syllabi, see the departmental website.

 

STA  570 STATISTICAL METHODS I      (3)

Sampling, t-tests, linear regression and correlation, elementary analysis of variance.  Letter grade only.  Course fee required.  Prerequisite: undergraduate statistics course.  

 

STA  571 STATISTICAL METHODS II       (3)

Analysis of variance and covariance, multiple and partial regression, nonparametric methods.  Letter grade only.  Course fee required. Prerequisite:  STA 570 with grade greater than or equal to C

 

STA  572 MULTIVARIATE STATISTICAL METHODS      (3)

Analysis of multivariate data: multivariate analysis of variance, discriminant analysis, canonical correlation, principal components, factor analysis, and cluster analysis.  Letter grade only.  Course fee required.  Prerequisite:  STA 570 with grade greater than or equal to C

 

STA  574 CATEGORICAL DATA ANALYSIS      (3)

Categorical data; two-way contingency tables; three-way tables; generalized linear models; logistic regression; log linear models; multiplicative models.  Letter grade only.  Course fee required.  Prerequisite: STA 471 or 570 or 571 with grade greater than or equal to C

 

STA  575 APPLIED SAMPLING      (3)

Classical sampling schemes: simple random, stratified, systematic, cluster, and multistage; ratio estimation; special methods: point, line intercept, and transect methods.  Prerequisite:  STA 570 with grade greater than or equal to C

 

STA  585 STATISTICAL CONSULTING PRACTICUM      (1)

Experience in statistical consulting in supervised lab setting. Involves interacting with clients, recommending analyses, and reviewing results. 3 hrs. lab. Pass-fail only. May be repeated for up to 3 hours of credit. Instructor's consent required.  

 

STA  587 PROFESSIONAL DEVELOPMENT SEMINAR      (1)

Designed to assist you in preparing for entry into your professional arena. Pass-fail only. Prerequisite: graduate status.

 

STA  597 READING FOR COMPREHENSIVE EXAM      (1-9)

Preparation for comprehensive examination.  Pass-fail only.  Department consent required.  

 

STA  599 CONTEMPORARY DEVELOPMENTS      (1-3)

Examines recent trends and investigations in a selected area of a particular field of study.  May be offered no more than three times before being submitted for a permanent course number.  May be repeated for credit.  Letter grade only.  

 

STA  608 FIELDWORK EXPERIENCE      (1-12)

Pass-fail only.

 

STA  673 MATHEMATICAL STATISTICS I      (3)

Rigorous mathematical treatment of the theory of statistics; probability models, random variables and vectors, families of distributions.  Prerequisite: MAT 431C with grade greater than or equal to C

 

STA  674 MATHEMATICAL STATISTICS II      (3)

Rigorous mathematical treatment of the theory of statistics; estimation, tests of hypotheses, selected topics from linear models and analysis of variance.  Prerequisite: STA 673 with grade greater than or equal to C

 

STA  675 THEORY LINEAR MODELS      (3)

Vector spaces; random vectors and matrices; distribution theory; quadratic forms; general linear model; least squares; maximum likelihood estimation; hypothesis testing; linear parametric functions; regression; analysis of variance, residuals.  Prerequisite: (MAT 316 and STA 571 and STA 673) grade greater than or equal to C

 

STA  676 EXPERIMENTAL DESIGN       (3)

Analysis of variance and covariance, crossed and nested designs, multiple comparisons, randomized blocks, Latin squares, split plot designs, fractional designs. Prerequisite:  STA 570 with grade greater than or equal to C

 

STA  685 GRADUATE RESEARCH      (1-6)

Pass-fail only.  Department consent required.

 

STA  697 INDEPENDENT STUDY      (1-3)

Pass-fail only.  Department consent required.  

 

STA  698 GRADUATE SEMINAR      (1-3)

Letter grade or pass-fail.  Department consent required.  

 

STA  699 GRADUATE THESIS      (1-9)

Individualized directed research, writing, and oral defense of selected thesis topic.  May be repeated as needed.  Prerequisite:  Admission to master's program.