
STAT 101. 03 (222) Activity Based Statistics, F,SS 
Prerequisite:
Credit not allowed for students who have already taken any 200level or higher statistics course. 

*NOT OFFERED EVERY YEAR 

Population sample, variation, data, relationships, probability
and risk, polls, prediction, margin of error, critical assessment
of studies.


STAT
110. 03 (201). Statistics in the Real
World, S 
Prerequisite:
Credit not allowed for students who have already taken any 200level or higher statistics course. 

*NOT OFFERED EVERY YEAR 

Use of statistical tools in real life problems using computer
packages; integration of critical thinking skills using case
studies.


STAT
192. 01 (001). FirstYear Seminar in
Mathematical Sciences. S. 
Prerequisites:
In order to fulfill firstyear seminar requirement, students
also need to pass MATH 192. 

Richness and variety of problems encountered in the mathematical
sciences.


STAT
201. 03 (201). General Statistics.
F,S,SS. 
Prerequisite:Mathematics placement exam or one credit of 100level mathematics.
Credit not allowed for both STAT 201 and STAT 204. Intended as a onesemester terminal course. Credit
not allowed for both STAT 201 and STAT 204. 

Graphs, descriptive statistics, confidence intervals, hypothesis
tests, correlation and simple regression, tests of association.


STAT
204. 03 (220). Statistics for Business
Students. F,S,SS. 
Prerequisite:
Mathematics placement exam or one credit of 100level mathematics.
Credit not allowed for both STAT 201 and STAT 204. 

Surveys, sampling, descriptive statistics, confidence intervals,
contingency tables, control charts, regression, exponential
smoothing, forecasting.


STAT
301. 03 (300). Introduction to Statistical
Methods. F,S,SS. 
Prerequisite:
Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 160.
Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 311, STAT 315. 

Techniques in statistical inference; confidence intervals, hypothesis
tests, correlation and regression, analysis of variance, chisquare
tests.


STAT 303/ECE 303. 03 (300). Introduction to Communication Principles . F. 


Prerequisite: MATH 261; ECE 311 or concurrent registration. Credit not allowed for both STAT 303 and ECE 303. 

Basic concepts in design and analysis of communication systems.


STAT
305. 03 (300). Sampling Techniques.
F. 
Prerequisite:
STAT 301 or STAT 307/ERHS 307 or STAT 315 or
STAT 311. 

Sample designs; simple random, stratified, systematic, cluster,
unequal probability, two phase; methods of estimation and sample
size determination.


STAT
307/ERHS 307. 03 (300). Introduction
to Biostatistics. F,S,SS. 
Prerequisite:
MATH 118 or MATH 121. Credit allowed for only one course: STAT 301,
STAT 307/ERHS 307, STAT 315, STAT 311 

Biostatistical methods; confidence intervals, hypothesis tests,
simple correlation and regression, oneway analysis of variance.


STAT 311. 03 (300). Statistics for Behavioral
Sciences I. F. 
Prerequisite:
MATH 118 or MATH 121. Credit allowed for only one course: STAT 301,
STAT 307/ERHS 307, STAT 315, STAT 311. 

Classification, descriptive statistics; inference, testing,
estimation; categorical data analysis; odds ratio.


STAT
312. 03 (300). Statistics for Behavioral
Sciences II. S. 
Prerequisite:
STAT 311. 

Oneway analysis of variance, factorial designs, blocked designs,
multiple comparisons of means, and multiple regression.


STAT 315. 03 (300). Statistics for Engineers and Scientists. F,S,SS. 
Prerequisite: MATH 161 or MATH 255. Credit allowed for only one course: STAT 301, STAT/ERHS 307, STAT 315, STAT 311. 

Calculusbased probability and statistics: distribution theory, estimation, hypothesis testing, applications to engineering and the sciences.


STAT 321. 03 (300). Elementary ProbabilisticStochastic
Modeling. S. 
Prerequisite:
MATH 151 or MATH 152 or MATH 155 or MATH 160;CS 156 or CS 160 /knowledge of a computer language. 

Probabilistic and stochastic models of real phenomena; distributions,
expectations, correlations, averages; simple Markov chains and
random walks.


STAT 340. 03 (300). Multiple Regression Analysis . S, SS. 


Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315. 

Estimation and testing for linear, polynormal, and multiple regression models; analysis of residuals; selection of variables; nonlinear regression. 

STAT 350. 03 (300). Design of Experiments. F,SS. 
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315. 

Analysis of variance, covariance; randomization; completely randomized, randomized block, Latinsquare, splitplot, factorial and other designs.


STAT 372. 03 (300). Data Analysis Tools. F. 
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 315 or STAT 311. 

Data Analysis principles and practice, statistical packages and computing; ANOVA, regression and categorical data methods.


STAT
420. 03 (300). Probability and Mathematical
Statistics I. F. 
Prerequisite:
MATH 255 or MATH 261. 

Probability, random variables, distribution functions, and expectations;
joint and conditional distributions and expectations; transformations.


STAT
430. 03 (300). Probability and Mathematical
Statistics II. S. 
Prerequisite:
STAT 420. 

Theories and applications of estimation, testing, and confidence
intervals; sampling distributions including normal, gamma, beta
X2, t, and F.


STAT
460. 03 (300). Applied Multivariate
Analysis. S. 
Prerequisite:
STAT 340. 

Principles for multivariate estimation and testing; multivariate
analysis of variance, discriminant analysis; principal components,
factor analysis.


STAT
472. 03 (003). Statistical Consulting.
S. 
Prerequisite:
STAT 372 or concurrent registration or written consent of instructor. 

Statistical consulting skills including data analysis, problem
solving, report writing, oral communication, and planning experiments.


STAT
495. Variable credit. Independent Study. F,S, SS 
Prerequisite:
Written consent of instructor.


STAT 498. Variable credit. Independent Study. F, S, SS 

Prerequisite: Written consent of instructor. 

Research skills and techniques; include both oral and written communication of results. 

STAT
501. 01 (100). Statistical Science.
F. 


Overview of statistics: theory; use in agriculture, business,
environment, engineering; modeling; computing; statisticians
as researchers/consultants.


STAT 511. 04 (301). Design and Data Analysis
for Researchers I. F. 


Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315. 

Statistical methods for experimenters and researchers emphasizing
design and analysis of experiments.


STAT
512. 04 (301). Design and Data Analysis
for Researchers II. S. 
Prerequisite:
STAT 511. 

Model building and decision making; communication of statistical
information. Statistical methods for experimenters and researchers emphasizing
design and analysis of experiments.


STAT 514/OSCR 514. 04 (330). Agricultural Experiment Design and Analysis. S. 


Prerequisite:STAT 201 or STAT 301 or STAT 307/ERHS 307. Credit allowed for only one fo the following: SOCR 414, SOCR 514, STAT 350 or STAT 514. 

Design and implementation of agricultural experiments and statistical analysis of resulting data. 

STAT
515. 03 (220). Statistical Science
and Process Improvement. S. 
Prerequisite:
STAT 511 or STAT 540 or CIS 570 or written consent of instructor. 

Statistical methods in process design; statistical methods;
measurement processes; customer evaluation.


STAT
520. 04 (400). Introduction to Probability
Theory. F. 
Prerequisite:
MATH 229, MATH 261, MATH 317. 

Probability, random variables, distributions, expectations,
generating functions, limit theorems, convergence, random processes.


STAT
521. 03 (300). Stochastic Processes
I. S. 
Prerequisite:
STAT 520. 

Characterization of stochastic processes, Markov chains in discrete
and continuous time, branching processes, renewal theory, Brownian
motion.


STAT
522. 03 (300). Stochastic Processes
II. F. 
Prerequisite:
STAT 521. 

Martingales and applications, random walks, fluctuation theory,
diffusion processes, point processes, queueing theory.


STAT
523/NR 523. 03 (300). Quantitative
Spatial Analysis. S. 
Prerequisite:
STAT 301 or STAT 307/ERHS 307. Credit allowed
for only one: STAT 523 or NR 523. 

Techniques in spatial analysis; point pattern analysis, spatial
autocorrelation, trend surface and spectral analysis.


STAT
525. 03 (300). Analysis of Time Series
I. F. 
Prerequisite:
STAT 430. 

Trend and seasonality, stationary processes, Hilbert space techniques,
the spectral distribution function, fitting ARIMA models, linear
prediction.


STAT
526. 03 (300). Analysis of Time Series
II. S. 
Prerequisite:
STAT 525. 

Spectral analysis; the periodogram; spectral estimation techniques;
multivariate time series; linear systems and optimal control;
Kalman filtering and prediction.


STAT
530. 03 (300). Mathematical Statistics.
S. 
Prerequisite:
STAT 520. 

Sampling distributions, estimation, testing, confidence intervals;
exact and asymptotic theories of maximum likelihood and distributionfree
methods.


STAT
540. 03 (300). Data Analysis and Regression.
F. 
Prerequisite:
Six credits of upperdivision statistics courses or written
consent of instructor. 

Introduction to multiple regression and data analysis with emphasis
on graphics and computing.


STAT
544/ERHS 544. 03 (300). Biostatistical
Methods for Quantitative Data. S. 
Prerequisite:
STAT 301 or STAT 307/ERHS 307. Credit allowed
for only one: STAT 544 or ERHS 544. 

Regression and analysis of variance methods applied to both
observational studies and designed experiments in the biological
sciences.


STAT
547/ECE 547. 03 (300). Statistics for
Environmental Monitoring. S. 
Prerequisite:
STAT 301. Credit allowed for only one: STAT 547 or CHEM 547. 

Applications of statistics in environmental pollution studies
involving air, water, or soil monitoring; sampling designs trend
analysis; censored data.


STAT
560. 03 (300). Applied Multivariate
Analysis. F,S. 
Prerequisite:
STAT 520, STAT 540. 

Multivariate analysis of variance; principal components; factor
analysis; discriminant analysis; cluster analysis.


STAT
570. 03 (300). Nonparametric Statistics.
S. 
Prerequisite:
STAT 430 or written consent of instructor. 

Distribution and uses of order statistics; nonparametric inferential
techniques, their uses and mathematical properties.


STAT
586. 01 (020). Practicum in Consulting
Techniques. S. 
Prerequisite:
STAT 540. 

Instruction on planning
studies, writing reports, and interacting with clients. Attend
and critique consulting sessions. 

STAT
592. 01 (001). Seminar. 


STAT
600. 03 (300). Statistical Computing.
F,S. 
Prerequisite:
STAT 520, STAT 540 

Statistical packages; graphical data presentation; model fitting
and diagnostics; random numbers; simulation; numerical methods
in statistics.


STAT 604/BUS 604. 02 (200). Managerial Statistics. F 
Prerequisites: Admission to MBA Program. Credit allowed for only one: STAT 604 or BUS 604. 

An introduction to statistical thinking and methods used to support managerial decision making.


STAT
605. 03 (300). Theory of Sampling Techniques.
F. 
Prerequisites:
STAT 301 or STAT 307/ERHS 307 or STAT 315 or
STAT 311, STAT 430. 

Survey designs; simple random, stratified, cluster samples;
theory of estimation; optimization techniques for minimum variance
or costs.


STAT
640. 04 (400). Design and Linear Modeling
I. S. 
Prerequisites:
STAT 540 or written consent of instructor. 

Introduction to linear models; experimental design; fixed,
random, and mixed models.


STAT
645. 03 (300). Categorical Data Analysis
and GLIM. S. 
Corequisite:
STAT 640. 

Generalized linear models, binary and polytomous data, log linear
models, quasilikelihood models, survival data models.


STAT
650. 03 (300). Design and Linear Modeling
II. F. 
Prerequisite:
STAT 640 or written consent of instructor. 

Mixed factorials; response surface methodology; Taguchi methods;
variance components.


STAT
675. AL. Variable credit (13). Topics
in Statistical Methods. F,S,SS. 
Prerequisite:
STAT 430 or written consent of instructor. 

A. Sampling; B. Design; C. Multivariate and regression analysis;
D. Computer intensive methods; F. robustness and nonparametric
methods; I. Industrial statistical methods; J. Reliability;
K. Bayesian statistics; L. Medical and pharmaceutical statistical
methods.


STAT
684. Variable 13 credits. Supervised
College Teaching. F,S,SS. 
Prerequisite:
Enrollment in M.S./Ph.D. program in statistics. 

STAT 201 and STAT 204 Teaching Asssistants should enroll for this course. 

Guidance and instruction in effective teaching of college courses
in statistics.


STAT
695. Variable credit. Independent Study.



STAT
699. Variable credit. Thesis. 


STAT
720. 04 (400). Probability Theory.
S. 
Prerequisites:
STAT 520, M 517. 

Measure theoretic probability, characteristic functions; convergence;
laws of large numbers; central limit, extreme value, asymptotic
theory.


STAT
721. 03 (300). Applied Probability
and Stochastic Processes I. F,S. 
Prerequisite:
STAT 720. 

General theory of processes; Markov processes in discrete and
continuous time; review of martingales, random walk; renewal
and regenerative processes.


STAT
722. 03 (300). Applied Probability
and Stochastic Processes II. F, S, SS 
Prerequisite:
STAT 720. 

Brownian motion, diffusion, stochastic differential equations;
weak convergence and central limit theorems. Applications in
engineering, natural sciences.


STAT
725. 03 (300). Time Series and Stationary
Processes. F,S,SS. 
Prerequisite:
STAT 720, STAT 730. 

Spectral theory of multivariate stationary processes; estimation,
testing for spectral, linear, ARMA representations; best linear
predictors, filters.


STAT
730. 04 (400). Advanced Theory of Statistics
I. F. 
Prerequisites:
STAT 530, STAT 720. 

Minimal sufficiency, maximal invariance; NeymanPearson theory;
Fisher, KullbackLeibler information; asymptotic properties
of maximumlikelihood methods.


STAT
731. 03 (300). Advanced Theory of Statistics
II. S,SS. 
Prerequisite:
STAT 730. 

Decisiontheory model; Bayes, eBayes, complete, and admissible
classes; applications to sequential analysis and design of experiments.


STAT
740. 03 (300). Advanced Statistical
Methods. F,S. 
Prerequisite:
STAT 640, concurrent registration in STAT 730. 

Generalized additive models; recursive partitioning regression
and classification; graphical models and belief networks, spatial
statistics.


STAT
750. 03 (300). Advanced Theory of Design.
F,S. 
Prerequisite:
STAT 650 or written consent of instructor. 

Information theory; design evaluation, factorial designs and
optimal designs, orthogonal and balanced arrays, designs with
discrete/continuous factors.


STAT
760. 03 (300). Theory of Multivariate
Statistics. F,SS. 
Prerequisite:
STAT 640, concurrent registration in STAT 730. 

Theory of multivariate normal; maximumlikelihood inference,
unionintersection testing for single sample; theory of a multivariate
linear model.


STAT
770. 03 (300). Approximation Theory
and Methods. F,S. 
Prerequisite:
STAT 730. 

Edgeworth expansions, saddlepoint methods; applications of weak
convergence and other approximation methods in mathematical
statistics.
