290 / FIELDS OF INSTRUCTION

COURSES FOR ADVANCED UNDERGRADUATES AND GRADUATES
STA 505-DESIGN AND ANALYSIS OF EXPERIMENTS IN BIOMEDICAL
 RESEARCH. 3 credits
 STA 509-RANDOM DATA ANALYSIS AND MEASUREMENTS. 4 credits
 STA 523-COMPUTER PROGRAMS IN STATISTICAL ANALYSIS 1. 2 credits
 STA 524-COMPUTER PROGRAMS IN STATISTICAL ANALYSIS 2. 2 credits

 GRADUATE COURSES
 STA 602-STATISTICAL METHODS IN RESEARCH 1. 3 credits
 Estimation, tests of hypothesis, basic experimental designs, least squares, re-
 gression and correlation. Some nonparametric techniques.
 STA 603-STATISTICAL METHODS IN RESEARCH 2. 3 credits
 Prerequisite: STA 602. Analysis of variance for basic experimental designs.
Application to problems in the physical, biological, and social sciences.
STA 604-STATISTICAL METHODS IN RESEARCH 3. 3 credits
 Prerequisite: STA 603. Covariance analysis, analysis of experiments with
unequal sample sizes: transformations.
STA 605-ADVANCED METHODS OF STATISTICS. 3 credits
 Prerequisite: STA 604. Complex experimental designs, including incomplete
blocks, confounding, fractional replication, and response surfaces.
STA 607-DESIGN AND ANALYSIS OF EXPERIMENTS 1. 3 credits
 Prerequisite: STA 441. Basic concepts in the design of experiments. Linear
statistical models. The method of least squares and the analysis of variance for
orthogonal experimental designs.
STA 608-DESIGN AND ANALYSIS OF EXPERIMENTS 2. 3 credits
 Prerequisite: STA 607. Multiple comparison procedures. Transformations to
stabilize variances. The analysis of enumerative data. Transformations on the
independent variables. Orthogonal systems of coding.
STA 609-DESIGN AND ANALYSIS OF EXPERIMENTS 3. 3 credits
 Prerequisite: STA 608. Response surface exploration. Evolutionary operations.
Fractional factorial experiments and incomplete block designs. Some completely
random and mixed models.
STA 610-INTRODUCTION TO THEORETICAL STATISTICS 1. 3 credits
 Prerequisite: MS 304. Theory of probability. Probability spaces, continuous and
discrete distributions, functions of random variables. Expectations, moment and
probability generating functions. Applications.
STA 611-INTRODUCTION TO THEORETICAL STATISTICS 2. 3 credits
 Prerequisite: STA 610. Properties of point estimators. Least squares, maximum
likelihood, and Bayesian procedures. Confidence intervals, multivariate normal dis-
tributions, and introduction to the theoretical basis for analysis of variance.
STA 612-INTRODUCTION TO THEORETICAL STATISTICS 3. 3 credits
 Prerequisite: STA 611. Tests of hypotheses, decision theory, nonparametric tests.
STA 615-STATISTICAL METHODS IN BUSINESS RESEARCH. 5 credits
 Prerequisite: BA 664 or its equivalent. Planning and implementation for an
experimental research project. Model formulation, experimental design, methods
of inference, regression analysis, analysis of variance and nonparametric methods.
Computer techniques.
STA 619-THEORY OF LEAST SQUARES. 4 credits
 Prerequisite: STA 611. Application of the Markov theory of least squares to the