Statistics Course Descriptions
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STA 169 Elementary Statistics. [MATH 1342]
This is a survey course in elementary statistics designed to acquaint students with
the role of statistics in society. Coverage includes graphical descriptive methods,
measures of central tendency and variation, the basic concepts of statistical inference,
the notion of estimators, confidence intervals, and tests of hypotheses. Also
offered as MTH 169. Prerequisite: Two years of high school algebra. Credit 3.
STA 379 Statistical Methods in Practice. Topics include organization and presentation of data; measures of central tendency,
dispersion, and position; probability distributions for discrete and continuous random
variables, sampling techniques, parameter estimation, and hypothesis testing.
Emphasis will be given to the use of the MINITAB statistics package. Also offered
as MTH 379. Prerequisites: Three semester hours of mathematics and consent of
instructor. Normally offered in the Fall, Spring, and Summer I. Credit 3.
STA 380 Statistical Design and Analysis of Experiments. Topics include sampling designs and hypothesis testing in analysis of variance,
analysis of covariance, and regression analysis. Design characteristics, model diagnostics,
and hypothesis testing will be emphasized and work will be required on real
data. The MINITAB and SAS statistics packages will be applied. Prerequisite: STA
379 or equivalent. Normally offered in the Spring semester. Credit 3.
STA 381 Sample Survey Methods. The course treats principles needed in planning and conducting sample surveys.
Topics include random, stratified, systematic, and cluster sampling methods as well
as sub sampling techniques. Prerequisite: STA 379 or equivalent. Credit 3.
STA 470 Special Topics in Statistics. This course is designed to accommodate independent study and research with content
determined by mutual agreement of student and supervisor. However, it may
also be taught as a special organized class when there is sufficient student interest in
a particular project. Such topics as statistical quality control, modeling and analysis,
time series analysis, Monte-Carlo techniques and bootstrapping may be included.
This course may be taken for Academic Distinction credit. (See Academic Distinction
Program in this catalog.) May be repeated for credit. Prerequisites: Six semester
hours of advanced statistics and consent of instructor. Credit 3.
STA 471 Theory and Applications of Probability and Statistics I. Topics include basic concepts and properties of probability, random variables, statistical
distributions, measures of central tendency, variance, covariance, correlation,
functions of random variables, sampling distributions, and the Central Limit Theorem.
Also offered as MTH 471. Prerequisite: MTH 143. Normally offered in the Fall semester.
STA 472 Theory and Applications of Probability and Statistics II. Topics include multivariate, conditional and marginal distributions, point and interval
estimation, theory of estimation, maximum likelihood estimates, hypothesis testing,
likelihood ratio tests, contingency analysis, and nonparametric statistics. Also offered
as MTH 472. Prerequisites: MTH 244 and STA 471. Normally offered in the Spring. Credit 3.
STA 473 Nonparametric Statistics. Topics include chi-square goodness-of-fi t testing and inferences concerning location
and scale. Specific tests include the sign test, Wilcoxon signed-rank test, the
Kruskal-Wallis test, tests for randomness and trends, and contingency analyses.
Prerequisites: STA 379 and consent of instructor. Credit 3.
STA 474 Regression Modeling and Analysis. Topics include model estimation and testing, model diagnostics, residual analysis,
variables selection, and multicollinearity. Work will be required on real data with the
use of the MINITAB and SAS statistics packages. Prerequisites: STA 379 and consent
of instructor. Credit 3.
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