2010 - 2011 Undergraduate Catalog | Statistics (Stat) Courses

STAT 105 : Introduction to Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall
PREREQUISITE:	MATH 97 or equivalent.
DESCRIPTION:	Fundamental ideas and applications of statistics.

STAT 121 : Principles of Statistics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)

OFFERED:	Independent Study also; Honors also.
WHEN TAUGHT:	Fall; Winter; Spring; Summer
RECOMMENDED:	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, simple linear regression.

: Honors Principles of Statistics.

STAT 124 : SAS Certification 1. (1:1:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall Blk 1; Winter Blk 1; Spring
PREREQUISITE:	STAT 121, 151, 201, or 301.
RECOMMENDED:	Concurrent enrollment in STAT 224.
DESCRIPTION:	SAS basic programming certification.

STAT 125 : SAS Certification 2. (1:1:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall Blk 2; Winter Blk 2; Summer
PREREQUISITE:	STAT 124
RECOMMENDED:	Concurrent enrollment in STAT 224.
DESCRIPTION:	Advanced SAS programming certification.

STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter On Demand; Spring
PREREQUISITE:	MATH 112
DESCRIPTION:	The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling.

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

PREREQUISITE:	Department chair's and internship coordinator's consent
DESCRIPTION:	Work experience evaluated by supervisor and posted on student's transcript.

STAT 201 : Statistics for Engineers and Scientists. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter; Spring
PREREQUISITE:	MATH 112; or MATH 119
DESCRIPTION:	The scientific method; probability, random variables, common discrete and continuous random variables, central limit theorem; confidence intervals and hypothesis testing; completely randomized experiments; factorial experiments.

STAT 224 : Statistical Computing 1. (2:0:2)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter; Summer
PREREQUISITE:	STAT 124 or concurrent enrollment.
DESCRIPTION:	Statistical programming using the data step in SAS; basic Procs; Proc MEAN, SORT, TABULATE, SQL, and REPORT; ODS; simple MACROS.

STAT 230 : Analysis of Variance. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter; Spring
PREREQUISITE:	Stat 121, 151, 201, or 301.
DESCRIPTION:	Scientific method, statistical thinking, sources of variation, completely randomized design, ANOVA, power and sample size consideration, multiple testing, randomized complete blocks, factorial designs, interactions. Introduction to statistical software.

STAT 233 : Utah Colleges Exit Poll Administration. (2:2:0)(Credit Hours:Lecture Hours:Lab Hours)

PREREQUISITE:	Stat 121, 151, 201, or 301.
DESCRIPTION:	Planning and executing KBYU / Utah Colleges Exit Poll.

STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall
PREREQUISITE:	STAT 121, 151, 201, or 301.
DESCRIPTION:	Sampling frames, questionnaire design; simple random, systematic, stratified, and cluster sampling methods, comparing domain means, contingency table analysis.

STAT 240 : Discrete Probability. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter; Summer
PREREQUISITE:	Stat 121 or 151 or 201 or 301.
RECOMMENDED:	Math 112 or concurrent enrollment.
DESCRIPTION:	Set theory; discrete probability; conditional probability; finite sample spaces; discrete random variables (pdf, cdf, moments).

STAT 290 : Communication of Statistical Results. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter
PREREQUISITE:	STAT 230; First-Year Writing.
DESCRIPTION:	Introduction to writing within the discipline including the effective use of graphics, tables, and equations. Resources and guidelines for writing and presenting statistical results.

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

WHEN TAUGHT:	Fall; Summer
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 330 : Introduction to Regression. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter
PREREQUISITE:	STAT 230
DESCRIPTION:	Regression, transformations, residuals, indicator variables, variable selection, logistic regression, time series, observational studies, statistical software.

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

WHEN TAUGHT:	Fall; Winter
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 340 : Inference. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall; Winter
PREREQUISITE:	STAT 240
DESCRIPTION:	Continuous random variables (pdf, cdf, mgf, moments); sampling distributions; Central Limit Theorem; frequentist inference (estimation, intervals, hypothesis tests); Bayesian inference (estimation, intervals); simulation.

STAT 341 : Statistical Theory 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall
PREREQUISITE:	MATH 314; Stat 121, 151, 201, or 301.
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 342 : Statistical Theory 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 341
DESCRIPTION:	Sufficiency and completeness; point and interval estimation; hypothesis testing; Cramer-Rao inequality; some asymptotic results; Bayesian methods.

STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Fall
PREREQUISITE:	MATH 314 & STAT 240
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 372 : Actuarial Problems. (1:2:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 370
DESCRIPTION:	Applying mathematical statistics in actuarial science. Prepares for SOA Exam P.

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

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 224
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)

WHEN TAUGHT:	Fall
PREREQUISITE:	STAT 330
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)

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)

PREREQUISITE:	STAT 234; Stat 340 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)

WHEN TAUGHT:	Fall On Demand; Winter On Demand
PREREQUISITE:	Stat 330 or 511 or equivalent.
DESCRIPTION:	Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting.

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

WHEN TAUGHT:	Fall
PREREQUISITE:	STAT 330 & STAT 340
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)

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 330; or STAT 340
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)

PREREQUISITE:	STAT 330 & STAT 340
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 474 : Theory of Interest. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 370
DESCRIPTION:	Theory of interest, annuities, amortization, financial derivatives. Prepares for the Society of Actuaries Exam FM.

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

WHEN TAUGHT:	Fall
PREREQUISITE:	STAT 474
DESCRIPTION:	Life tables, survival functions, contingent annuities, insurance, premiums, reserves, joint annuities and insurance. Prepares for SOA Exam MLC.

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

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)

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)

PREREQUISITE:

Departmental consent.

STAT 500 : (Stat-Chem-C S-Geol-Math-MthEd-Phscs) Business Practices for Science and Mathematics Majors. (1.5:1.5:0)(Credit Hours:Lecture Hours:Lab Hours)

WHEN TAUGHT:	Winter
DESCRIPTION:	Introduction to budgeting, project planning, oral business presentation, technology readiness, teaming, product liability. Specifically for science and math majors.

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

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)

WHEN TAUGHT:	Fall; Winter
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)

WHEN TAUGHT:	Winter
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)

PREREQUISITE:	Stat 201, Math 113; or equivalents.
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)

WHEN TAUGHT:	Fall
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)

WHEN TAUGHT:	Winter
PREREQUISITE:	STAT 535, 624; or departmental consent.
DESCRIPTION:	Weighted least squares, Bayesian linear 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)

WHEN TAUGHT:	Winter On Demand
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)

WHEN TAUGHT:	Winter On Demand
PREREQUISITE:	Stat 341 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)

WHEN TAUGHT:	Fall On Demand; Winter On Demand
PREREQUISITE:	Stat 341 or 370 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)

WHEN TAUGHT:	Winter On Demand
PREREQUISITE:	Stat 330 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 590R : Statistical Consulting. (1-3:Arr:0)(Credit Hours:Lecture Hours:Lab Hours)

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)

WHEN TAUGHT:

Fall; Winter

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

PREREQUISITE:

Instructor's consent.

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

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

PREREQUISITE:	Departmental consent.
DESCRIPTION:	On-the-job experience. Report required.

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