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Statistics Course Descriptions
STAT 1342 (MATH 1342) Statistical Decision
Making (3 semester hours) Principles of quantitative decision
making: summarizing data, modeling uncertainty, loss functions, probability,
conditional probability, random variables. Introduction to statistics:
estimation, confidence intervals, hypothesis testing, regression. Introduction
to statistical packages. Cannot be used to satisfy degree requirements
for majors in the School of Engineering and Computer Science, or major
requirements in the Schools of Management or Natural Sciences and Mathematics.
Prerequisite: MATH 1306, MATH 1314 or equivalent. (30) S
STAT 3103 Statistical Computer Packages
(1 semester hour) An introduction to the use of statistics packages,
such as SAS, BMD, SPSS, Minitab, and S, for the analysis of data. Based
primarily on self study materials. Cannot be used to satisfy degree
requirements for mathematical science majors. Prerequisite: one semester
of statistics. (10) S
STAT 3332 Statistics for Life Sciences
(3 semester hours) Graphs, histograms, mean, median, standard deviation,
Chebyshev’s inequality, standardized scores, simple linear regression
and correlation; basic rules of Probability, Bayes theorem, Normal;
t, ?2, F, binomial and Poisson distributions; point estimation; hypothesis
tests and confidence intervals for means, proportions regression coefficients,
and correlation; one way ANOVA; contingency tables. Applications in
life sciences will be emphasized throughout the course. Cannot be used
by mathematical sciences, engineering, or computer science majors to
satisfy degree requirements. Prerequisite: MATH 1325 or equivalent.
(30) Y
STAT 3355 Data Analysis for Statisticians
and Actuaries (3 semester hours) Methods of data analysis used
in different areas of Statistics and Actuarial Science. Sampling, fitting
and testing models, regression, and comparison of populations. A statistical
computer package will be used. Prerequisite: MATH 2419. (30) T
STAT 3360 Probability and Statistics for
Management and Economics (3 semester hours) Probability theory
including independence, conditioning, density functions, frequently
used families of distributions, random variables, expectation, moments,
and the central limit theorem; statistical inference including sampling,
estimation, hypothesis testing, and regression. Cannot be used by mathematical
sciences, engineering, or computer science majors to satisfy degree
requirements. Prerequisite: MATH 1326. (30) S
STAT 4351 Probability (3 semester
hours) Probability models, random variables, expectation, special distributions,
and the central limit theorem. The theory is illustrated by numerous
examples. Prerequisite: MATH 2451. (30) T
STAT 4352 Mathematical Statistics (3 semester hours)
Theory and methods of statistical inference. Sampling, estimation, hypothesis
testing, analysis of variance, and regression with examples from the
physical, social, and management sciences. Prerequisite: STAT 4351 or
equivalent. (3 0) T
STAT 4372 Actuarial Science (3 semester hours) Probability
models and statistical methods used in insurance business. Typical loss
distributions including Pareto, Weibull, Iognormal, Ioggamma, discrete
and continuous mixtures. Effect of coverage modifications, and clustering
in modeling. Estimation by simulation. Prerequisite: STAT 4351. (30)
T
STAT 4382 Stochastic Processes (3 semester hours) Stochastic
models including Markov chains, random walks, Poisson processes, renewal
processes, and an introduction to time series and forecasting. Prerequisite:
STAT 4351 or equivalent. (30) T
STAT 4V02 Independent Study in Statistics (16 semester
hours) Independent study under a faculty member’s direction. May
be repeated for credit as topics vary (9 hours maximum). Prerequisite: Student must obtain approval from participating
mathematical sciences faculty member and the undergraduate adviser.
Can satisfy Communication elective (3 hours) if it has a major writing/report
component. ([16]0) S
STAT 4V97 Undergraduate Topics in Statistics (19 semester
hours) Subject matter will vary from semester to semester. May be repeated
for credit (9 hours maximum). ([19]0) S

