Statistics Course List

STA 215 Introduction to Statistical Reasoning. (3)

I, II. Prerequisite: completion of all University developmental requirements. Introduction to descriptive statistics, normal distributions, linear correlation and regression, sampling, experiments, chance phenomena, one- and two- sample estimation and hypothesis testing, chi-square tests, analysis of variance, software analysis packages. Credit will not be awarded to students who have credit for CRJ 400 or ECO 220 or EPY 842 or HEA 450 or PSY 291 or QMB 200 or STA 270. Gen. Ed. VII (QS).

270 APPLIED STATISTICS I. (3)
I,II. Prerequisite: MAT 107 or ACT of __. Measures of central tendency and dispersion, frequency distributions, probability, sampling distributions, point and interval estimates, hypothesis testing. Credit will not be awarded to students who have credit for COR 308 or ECO 220 or ECO 848 or EPY 842 or HEA 450 or PAD 400 or PSY 291 or STA 208 or STA 215. Gen. Ed. III.

320 APPLIED STATISTICS II. (3)
II. Prerequisite: STA 215 or 270. Analysis of variance, chi-square tests, nonparametric methods, elementary experimental design, linear correlation/regression, multiple regression, model building, computerized statistical packages. Credit will not be awarded to students who have credit for ECO 221 or ECO 854 or EPY 843 or PSY 301 or STA 500.

349 COOPERATIVE STUDY: STATISTICS. (1-8)
I,II; (1-6) SUMMER ONLY. Prerequisite: departmental approval. Work in placements related to academic studies. Does not apply to major or minor requirements. Total hours: eight, associative; sixteen, baccalaureate. A minimum of 80 hours of employment is required for each semester hour of academic credit.

370 APPLIED PROBABILITY. (3)
I,II. Prerequisite: any calculus course. Intuitive and axiomatic development of probability, set theory, counting techniques, conditional probability, Bayes Theorem, discrete models and distributions, and the law of large numbers.

375 SAMPLING THEORY. (3)
A. Prerequisite: STA 270 or 370. Basic concepts of sampling theory, simple random sampling, stratified random sampling, cluster sampling, systematic sampling, ratio and regression estimation, applications to surveys, utilization of microcomputer statistical packages.

490 SEMINAR IN _______. (1-3)
A. Prerequisite: departmental approval. Topic announced at the time of offering. May be taken to a maximum of 12 hours, provided the topics are different.

495 INDEPENDENT WORK. (1-3)
A. Prerequisite: departmental approval. Directed study/research on a problem of area chosen in consultation with instructor. Final paper required. Student must have the independent study proposal form approved by faculty supervisor and department chair prior to enrollment. May be taken to a maximum of six hours.

500 APPLIED STATISTICAL INFERENCE. (3)
A. Prerequisite: department approval. Designed for students in all areas. A general background in statistical methods including normal distribution, point and interval estimation, hypothesis testing, regression, analysis of variance, utilizing statistical packages on microcomputers. Credit will not be awarded to students who have credit for ECO 221, ECO 854, EPY 843, PSY 301, STA 271, or STA 521.

501 NONPARAMETRIC STATISTICS. (3)
A. Prerequisite: six hours of STA or three hours of STA and departmental approval. Simple, efficient nonparametric methods without normality assumptions. Tests, estimation of proportions, medians, two-sample location/dispersion, one and two-way layout, independence, regression.

503 STATISTICS WITH TECHNOLOGY FOR P-9 TEACHERS. (3)
A. Prerequisite: STA 270. Topics in statistics appropriate for teachers of grades P-9. Credit does not apply toward B.S. or B.S. (teaching) degree requirements for programs offered within this department.

507 SEMINAR IN STATISTICS: _______. (1-3)
A. Prerequisite: departmental approval. Topics vary with offering. May be taken with advisor approval, provided the topics are different. Credit toward degree requirements will depend on the course content.

520 MATHEMATICAL STATISTICS I. (3)
I. Prerequisites: MAT 224 or 224H and STA 270 or 370; Descriptive statistics, continuous probability distributions for one and two variables, functions of random variables, sampling distributions.

521 MATHEMATICAL STATISTICS II. (3)
II. Prerequisites: STA 520 and MAT 214. A continuation of STA 520. Estimation theory, tests of hypothesis, linear regression and correlation, multiple linear regression, analysis of variance, allied topics. Credit will not be awarded to students who have credit for STA 500.

575 STATISTICAL METHODS USING SAS. (3)
A. Prerequisites: STA 270, 500, 501, or 521; or a course in statistical inference. Statistical methods focusing on the use of the SAS computer package and interpretation of data. Assumptions of parametric and nonparametric tests.

STA 585 Experimental Design. (3)

I. Prerequisites: STA 215 or 270 or 500 or 700 or 501 or 701 or 521 or 721 or 575 or 775 or CRJ 400 or ECO 220 or ECO 848 or EPY 842 or HEA 450 or PSY 291 or QMB 200. Introduction to analysis of variance and experimental design with emphasis on authentic applications and use of statistical computing packages. Includes completely randomized designs, factorial experiments, multiple comparisons, checking model assumptions, randomized blocks, Latin squares, fixed and random models, and nested-factorial experiments.