Course Descriptions

1301  Statistical Reasoning: A Guide to the Unknown
Prerequisite(s): Freshman standing and consent of statistics undergraduate faculty advisor. 

Philosophical, ethical, and sociological issues related to statistical uncertainty and randomness.

1380   Elementary Statistics

Introduction to traditional statistical concepts including descriptive statistics, binomial and normal probability models, tests of hypotheses, linear correlation and regression, two-way contingency tables, and one-way analysis of variance. Credit may not be obtained after receiving credit in STA 2381 or 3381.

2381   Introductory Statistical Methods
Prerequisite(s): A grade of C or above in MTH 1321.

Parametric statistical methods. Topics range from descriptive statistics through regression and one-way analysis of variance. Applications are typically from biology and medicine. Computer data analysis is required.

3381   Probability and Statistics
Prerequisite(s): A grade of C or above in MTH 1322.

Introduction to the fundamentals of probability, random variables, discrete and continuous probability distributions, expectations, sampling distributions, estimation and simple tests of hypothesis.

4370   Sampling Techniques
Prerequisite(s): Three hours of statistical methods.

Planning, execution, and analysis of sampling from finite populations. Simple random, stratified random, ratio, systematic, cluster, sub sampling, regression estimates, and multi-frame techniques are covered.

4371   Data Management and Mining
Prerequisite(s): STA 3381.

Terminology, techniques, and management of Data Mining for biostatisticians.

4372   Introduction to Biostatistics
Prerequisite(s): STA 3381.

Data Analysis for biostatisticians in the biomedical and pharmaceutical fields.

4373  Computational Methods in Statistics
Prerequisite(s): STA 3381.

Computational methods using statistical packages and programming.

4374   Statistical Process Control
Prerequisite(s): STA 3381 or equivalent.

Development of statistical concepts and theory underlying procedures used in statistical process control applications and reliability.

4382   Intermediate Statistical Methods
Prerequisite(s):  A grade of C or above in either STA 2381 or STA 3381; or consent of instructor. 

Development and application of two-sample inference, analysis of variance and multiple regression. Assumptions, diagnostics and remedial measures are emphasized. Computer statistics packages are utilized.

4385  Mathematical Statistics I
Prerequisite(s): A grade of C or above in MTH 2321.

Probability theory and mathematical statistics at the post-calculus level. Principal topics include probability axioms, random variable, expectation, central limit theorem, special discrete and continuous distributions, and an introduction to sampling theory and data reduction.

4386  Mathematical Statistics II
Prerequisite(s): A grade of C or above in STA 4385.

Sampling distributions, sufficient statistics, likelihood procedures, point estimation, hypothesis testing, and confidence intervals. Other topics include Bayesian inference, multivariate transformations, and analysis of categorical data.

4387   Introduction to Probability Methods
Prerequisite(s): A grade of C or above in STA 4385.

Applications of probability theory to the study of phenomena in such fields as engineering, management science, social and physical sciences, and operations research. Topics include Markov chains, branching processes, Poisson processes, exponential models, and continuous-time Markov chains with applications to queuing systems. Other topics introduced are renewal theory and estimation procedures.

43C9  Capstone Statistics Course
Prerequisite(s): Approval of the statistics undergraduate faculty advisor.

Statistical concepts applied to written and oral reports for consulting. For students majoring in statistics.

4V90 Special Topics in Statistics 1 to 3 sem. hrs.
Prerequisite(s): STA 2381 or STA 3381.

Topics in probability and/or statistics not covered in other courses. May be repeated for a maximum of 6 hours if the content is different.