08 - 09 Undergraduate Catalog | Statistics (Stat) Courses

STAT 105 : Introduction to Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Su
PREREQUISITE:	Math 97 or equivalent.
DESCRIPTION:	Fundamental ideas and applications of statistics.

STAT 124 : SAS Certification 1. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F 1st block; W 1st block.
PREREQUISITE:	Stat 221 or equivalent with instructor's consent.
DESCRIPTION:	SAS basic programming certification.

STAT 199R : Academic Internship. (.5-3:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	department chair's and cooperative education coordinator's consent
DESCRIPTION:	Work experience evaluated by supervisor and posted on student's transcript.

STAT 221 : Principles of Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	Math 110 or equivalent.
DESCRIPTION:	Stemplots, boxplots, histograms, scatterplots; central tendency, variability; confidence intervals and hypothesis testing involving one and two means and proportions; contingency tables, regression; computer package.
NOTE:	Honors and Independent Study also.

: Honors Principles of Statistics.

STAT 224 : Statistical Computing 1. (2:2:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F 2nd block; W 2nd block.
PREREQUISITE:	Stat 124.
DESCRIPTION:	Statistical programming using the data step in SAS; basic Procs; Proc MEAN, SORT, TABULATE, SQL, and REPORT; ODS; simple MACROS.

STAT 291 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	Stat 221.
DESCRIPTION:	Supervised training and experience in teaching statistical concepts, managing lab experiences, using active learning strategies, and evaluating student performance.

STAT 292 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp
PREREQUISITE:	Stat 291.
DESCRIPTION:	Supervised training and experience in teaching statistical concepts, managing lab experiences, using learning activities, and evaluating student performance.

STAT 301 : Statistics and Probability for Secondary Educators. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, Sp
PREREQUISITE:	Math 113.
DESCRIPTION:	Statistics and probability, emphasizing secondary-specific curriculum. Principles of counting, probability distributions, density functions, graphical methods, descriptive and inferential statistics, computer package.

STAT 321 : Elements of Mathematical Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, Su
PREREQUISITE:	Math 113 or 119 or equivalent.
DESCRIPTION:	Probability, random variables, frequency distributions, estimation and tests of hypotheses from a theoretical standpoint.

STAT 324 : SAS Certification 2. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F 1st block; W 1st block.
PREREQUISITE:	Stat 224.
DESCRIPTION:	Advanced SAS programming certification.

STAT 331 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Math 113.
DESCRIPTION:	The scientific method; conditional probability; Bayesian methods; models for proportions; densities for proportions; models for means; densities for means; regression analysis.

STAT 332 : Quality Improvement for Industry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp
PREREQUISITE:	Math 112 or 119.
DESCRIPTION:	Quality management philosophies (Deming, etc.) Strategies for continuous improvement. Graphical and numerical methods of data analysis. Process control charts. Design and analysis of experiments for process characterization and improvement.

STAT 333 : Utah Colleges Exit Poll Administration. (2:2:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F even years.
PREREQUISITE:	Stat 334 or concurrent enrollment.
DESCRIPTION:	Planning and executing KBYU / Utah Colleges Exit Poll.

STAT 334 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 221 or equivalent.
DESCRIPTION:	Sampling frames, questionnaire design; simple random, systematic, stratified, and cluster sampling methods, comparing domain means, contingency table analysis.

STAT 336 : Statistical Methods 1. (6:3:3)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W
PREREQUISITE:	Stat 221, Math 113.
DESCRIPTION:	Estimation and hypothesis testing, simple linear regression, multiple regression, subset selection procedures; residual, influence, and collinearity diagnostics.

STAT 337 : Statistical Methods 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W, Sp
PREREQUISITE:	Stat 336.
DESCRIPTION:	Single-factor analysis of variance; multifactor analysis of variance; analysis of factor-level means; diagnostics; analysis of covariance; basic study design; random effects.

STAT 421 : Introduction to Probability and Statistical Theory. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Math 113 or equivalent; Stat 336.
DESCRIPTION:	Probability; random variables; probability models; methods of estimation; sampling distribution and the Central Limit Theorem; Neyman-Pearson hypothesis testing.

STAT 424 : Statistical Computing 2. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 324.
DESCRIPTION:	S Plus, statistical graphics, simulation, advanced SAS (macros, Proc IML, and Proc SQL), and database programming.

STAT 431 : Experimental Design. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 337 or 511.
DESCRIPTION:	Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs.

STAT 433 : Utah Colleges Exit Poll Design. (2:2:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F even years
PREREQUISITE:	Concurrent enrollment in Stat 434.
DESCRIPTION:	Planning and executing KBYU / Utah Colleges Exit Poll.

STAT 434 : Advanced Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F even years
PREREQUISITE:	Stat 334; 421 or 441 or 470 or departmental consent.
DESCRIPTION:	Estimation in systematic, simple random, stratified, cluster, and PPS sampling and mixtures of these; ratio estimation, sample size determination and principles of sample allocation.

STAT 435 : Nonparametric Statistical Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 337 or 511 or equivalent.
DESCRIPTION:	Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting.

STAT 441 : Statistical Theory 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W
PREREQUISITE:	Math 214.
DESCRIPTION:	Axiomatic probability theory for discrete and continuous random variables; moment-generating functions; conditional probability; stochastic independence; transformations; limiting distributions; stochastic convergence; central limit theorem.

STAT 442 : Statistical Theory 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W, Sp
PREREQUISITE:	Stat 441.
DESCRIPTION:	Sufficiency and completeness; point and interval estimation; hypothesis testing; Cramer-Rao inequality; some asymptotic results; Bayesian methods.

STAT 462 : Quality Control and Industrial Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F odd years
PREREQUISITE:	Stat 332 or 336.
RECOMMENDED:	Stat 337.
DESCRIPTION:	Six sigma; tools with which to define, measure, analyze, improve, control. Advanced concepts in control charts, applying experimental design for process and product improvement.

STAT 466 : Introduction to Reliability. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 332 or 361; 321 or 421 or 441.
DESCRIPTION:	Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas.

STAT 469 : Applied Time Series and Forecasting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 336.
DESCRIPTION:	Data mining, univariate ARIMA time series theory and application, seasonal models, spatial correlation models, conditional heteroscedastic models in financial time series, case studies.

STAT 470 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Math 214.
DESCRIPTION:	Probability theory; discrete, continuous, mixture random variables; loss distributions; moment-generating functions; conditional probability, expectation; total probability; stochastic independence; transformations. Prepares for Exam P.

STAT 472 : Actuarial Problems. (1:2:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 470 or concurrent enrollment.
DESCRIPTION:	Applying mathematical statistics in actuarial science. Prepares for Exam P.

STAT 474 : Life Contingencies 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 470 or concurrent enrollment.
DESCRIPTION:	Theory of interest, annuities, amortization, life tables, life annuities. Prepares for Exam FM.

STAT 475 : Life Contingencies 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 474.
DESCRIPTION:	Contingent annuities, joint annuities, insurance, calculating premiums and reserves. Prepares for Exam M.

STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	department coordinator's consent.
DESCRIPTION:	On-the-job experience or internships for undergraduates. Report is required.

STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	department chair's consent.
DESCRIPTION:	Review of current literature and survey of present status of significant statistical research; collaborative work between student and faculty.

STAT 499R : Honors Thesis. (.5-6:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	departmental consent.

STAT 510 : Introduction to Statistics for Graduate Students. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W, Su
PREREQUISITE:	Math 97 or equivalent.
RECOMMENDED:	Math 110 or equivalent.
DESCRIPTION:	Introductory statistics course for graduate students outside Statistics Department. Topics include probability, estimation, hypothesis tests, simple linear regression, analysis of variance.

STAT 511 : Statistical Methods for Research 1. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, Sp
PREREQUISITE:	Stat 510 or equivalent.
DESCRIPTION:	Basic statistical methodologies and experimental design. Topics include analysis of variance, multiple regression, analysis of covariance, common experimental designs.

STAT 512 : Statistical Methods for Research 2. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 511.
DESCRIPTION:	Advanced statistical methodologies. Topics include repeated measures models, basic multivariate techniques, logistic regression, log-linear models.

STAT 532 : Quality Improvement for Engineering. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Stat 332, Math 113.
DESCRIPTION:	Selected topics in statistical theory, analysis of variance, simple and multiple regression, response surface design and analysis, multilevel experimental designs, blocking designs, confounding.

STAT 535 : Applied Linear Models. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F
PREREQUISITE:	Departmental consent.
DESCRIPTION:	Theory of estimation and testing in linear models. Analysis of full-rank model, over-parameterized model, cell-means model, unequal subclass frequencies, and missing and fused cells. Estimability issues, diagnostics.

STAT 536 : Modern Regression Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 535, 624; or departmental consent.
DESCRIPTION:	Weighted least squares, measurement error models, robust regression, nonlinear regression, local regression, generalized additive models, tree-structured regression.

STAT 537 : Generalized Linear Models. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 535, 642; or equivalents.
DESCRIPTION:	Generalized linear models framework, binary data, polytomous data, log-linear models.

STAT 538 : Survival Analysis. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 441 or equivalent.
DESCRIPTION:	Basic concepts of survival analysis; hazard functions; types of censoring; Kaplan-Meier estimates; Logrank tests; proportional hazard models; examples drawn from clinical and epidemiological literature.

STAT 545 : Stochastic Processes. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 441 or 470 or equivalent.
DESCRIPTION:	Conditional expectation and probabilities; Markov chains; solutions using time-reversible chains; modeling using hidden Markov chains; exponential waiting times; Poisson processes; Brownian motion with approximations.

STAT 566 : Exploratory Multivariate Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Stat 337 or 512 or instructor's consent.
DESCRIPTION:	Exploratory data analysis; multivariate visualization; dynamic graphics; inference for mean vectors; multivariate regression; principal component analysis; cluster analysis; classification analysis; multi-dimensional scaling; correspondence analysis; bi-plots.

STAT 590 : Statistical Consulting. (1-3:Arr:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	W
PREREQUISITE:	Departmental consent.
DESCRIPTION:	Introduction to statistical consulting, oral presentations, presentation packages, written reports. Extensive applied experience in the Center for Collaborative Research and Statistical Consulting.

STAT 591R : Graduate Seminar in Statistics. (0:1:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:

F, W

STAT 595R : Special Topics in Statistics. (1-3:ARR:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	On demand.
PREREQUISITE:	Instructor's consent.

            : Biostatistical Methods.
            : Expert Systems in Statistics.
            : Quality Methods.
            : Sampling Practicum.
            : Statistical Computations.
            : Theory of Risk.

STAT 599R : Academic Internship: Statistics. (1-9:0:0)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	F, W, Sp, Su
PREREQUISITE:	departmental consent.
DESCRIPTION:	On-the-job experience. Report required.

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2008 - 2009

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