Statistics (STA)

STA 201. Statistics I. 3 Credit Hours.

These courses investigate the use of statistical methods in the process of optimizing decisions under uncertainty. Applications in the first semester involve the use of such statistical topics as descriptive statistics, frequency distribution, measures of central tendency and dispersion, probability and sampling theory. The second semester incorporates applications of analysis of variance, regression and correlation analysis, statistical decision making, Bayesian statistical decision making and value theory. Second semester presupposes the first.

STA 202. Statistics II. 3 Credit Hours.

These courses investigate the use of statistical methods in the process of optimizing decisions under uncertainty. Applications in the first semester involve the use of such statistical topics as descriptive statistics, frequency distribution, measures of central tendency and dispersion, probability and sampling theory. The second semester incorporates applications of analysis of variance, regression and correlation analysis, statistical decision making, Bayesian statistical decision making and value theory.

Prerequisite: STA 201.

STA 501. Quantitative Decision Making. 3 Credit Hours.

This course provides the principles of statistical inference. Probability, random variables, univariate distribution theory, hypothesis testing and estimation theory will be the focus of the first part of the course. Additional topics are selected from decision theory, nonparametric methods and linear modeling. Emphasis is placed on the use of statistical software packages to handle practical statistical analyses.