Statistics (STAT) Undergraduate Course Descriptions
STAT 193. Statistical Thinking [Goal 4]
Statistical background to critically read results reported in today's media regarding social, environmental and medical choices; how to collect good data; describe data graphically and numerically; uses and abuses of statistics; understanding variation and statistical significance; modeling chance; statistics in the courtroom, lotteries, opinion polls and other case studies; emphasis on understanding concepts rather than on computations; use of software packages and the internet. Prereq.: MATH 070 or high school advanced algebra with a satisfactory score on the mathematics department pretest. 3 Cr. F, S, SUM.
STAT 219. Statistics for the Social Sciences [Goal 4]
Descriptive statistics, graphical displays, random sampling, and normal distribution; introduction to confidence intervals and hypothesis tests for means and proportions; paired t-test, pooled t-test, chi-square test in contingency tables, brief introduction to correlation and simple linear regression; social science applications; use of statistical software package. Prereq.: 193 or MATH 193 or MATH 112 or equivalent. 3 Cr. F, S, SUM.
STAT 229. Statistics for the Physical Sciences [Goal 4]
Descriptive statistics, graphical displays, random sampling, normal and binomial distributions; confidence intervals and hypothesis tests for means and proportions; paired t-test, pooled t-test, testing for equality for two variances; brief introduction to correlation and simple linear regression; applications from management and physical sciences, use of statistical software package. Prereq.: 193 or MATH 193 or MATH 112 or equivalent. 3 Cr. F, S, SUM.
STAT 304. SAS Programming.
SAS statistical package; basic data manipulations and procedures; formatting, if-then-else, merge, arrays, do-loops, macros, functions, table look-up, custom reports. Coreq.: a statistics course or consent. 3 Cr. F.
STAT 319. Biometrics [Goal 4]
Descriptive statistics, graphical displays, normal, binomial and Poisson distributions; confidence intervals and hypothesis tests for means and proportions; paired t-test; pooled t-test, testing for equality of two variances; chi-square test in contingency tables; introduction to correlation, regression, anova, sampling, design concepts; use of statistical software package. Prereq.: 193 or equivalent. 4 Cr. F, S, SUM.
STAT 321. Regression and Analysis of Variance I
Correlation, simple linear regression and multiple regression; one and two-way anova; one of the multiple comparison procedures; randomized block design; applications, use of statistical software. Prereq.: 219 or 229 or 319 or 353 or equivalent. 3 Cr. F.
STAT 332. Survey Planning and Contingency Tables
Important aspects of survey sampling from initial planning phases through collection and storage of the data; chi-square contingency table analyses for two and three way tables; handling of small expected frequencies; matched pairs; measures of association; use of statistical software on large survey data. Prereq.: 219 or 229 or 319 or 353 or equivalent. 3 Cr. F.
STAT 353. Statistics for Engineers
Probability distributions; introduction to statistical methods, including hypothesis testing and confidence intervals, one-way anova, simple linear regression, quality control basics; applications, and the use of statistical software. Prereq.: MATH 222 or equivalent. 3 Cr. F, S.
STAT 444. Internship
Participation in a full or part-time position with a cooperating business, governmental, or civic organization whose program has been approved in advance by the department of statistics. Credits are provided upon completion of all requirements of the internship. Can substitute for STAT 480 if approved by the department. Any remaining credits apply to university electives for graduation. Prereq.: By permission only. 3-12 Cr. F, S, SUM.
STAT 480. Senior Project
One moderately complex project; directed readings in the statistical literature; meet with faculty for guidance; written and oral presentation. Prereq.: Senior standing. 3 Cr. F, S.
Statistics (STAT) Courses for Advanced Undergraduate and Graduate Students
STAT 417/517. Applied Probability and Simulation
Probability distributions and random variables, simulation of random variates, probability modeling, applications to Markov chains, queuing models, reliability and survival; use of software. Prereq.: One programming course and MATH 211 or equivalent. 3 Cr. S.
STAT 421/521. Regression and Analysis of Variance II
Model checking and diagnostics in regression, model building including stepwise regression procedures, full vs reduced model formulas; analysis of covariance, comparing the various multiple comparison procedures, unbalanced designs, random effects models, variance-stabilizing transformations, three-way anova; use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. 3 Cr. S.
STAT 424/524. Statistical Design for Process Improvement
A study of statistically designed experiments which have proven useful in product development and process improvement; topics include randomization, blocking, factorial treatment structures, fractional factorial designs, screening designs, Taguchi methods, response surface methods; use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. 3 Cr. DEMAND.
STAT 427/527. Applied Time Series
A study of the most useful techniques of analysis and forecasting using time series data. Topics include an introduction to forecasting, time series regression, decomposition methods, smoothing, smoothing techniques, basic techniques of Box-Jenkins methodology; use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. 3 Cr. DEMAND.
STAT 430/530. Multivariate Statistical Methods
Principal component analysis, factor analysis, discriminant analysis, cluster analysis, manova, profile analysis, repeated measures; applications and use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. 3 Cr. DEMAND.
STAT 433/533. Nonparametric Statistics
Efficiency comparison of mean and median, one and two sample location problems, effect of alternative score functions, randomization and permutation tests, the independence problem, and selected problems in regression. Use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. Coreq.: 301. 3 Cr. DEMAND.
STAT 436/536. Applied Categorical Data Analysis
Introduction to the analysis of discrete data; log-linear models for two-way and multi-way tables; linear logistics regression models; association models and models of symmetry; applications, use of statistical software. Prereq.: 321 or consent. Prereq.: or Coreq.: 304. Coreq.: 301. 3 Cr. DEMAND.
STAT 440/540. Topics in Statistics
Study of modern topics in theoretical or applies statistics. May be repeated to maximum of 6 Cr. Prereq.: Permission of instructor. 3 Cr. S.
STAT 447/547. Basic Elements of Probability Theory
A more mathematical treatment of probability distributions than STAT 417. Probability concepts and laws; sample spaces, combinations and permutations, Bayes' theorem, discrete and continuous random variables, expected value, distribution of functions of random variables, two-dimensional variates, central limit theorem; T, F, and chi-square distributions. Prereq.: MATH 222. Coreq.: MATH 321. 3 Cr. F.
STAT 448/548. Basic Elements of Statistical Theory
Theory of estimation and hypothesis testing; maximum likelihood, method of moments, likelihood ratio tests; elementary mathematical functions illustrate theory. Prereq.: 447. 3 Cr. S.
STAT 452/552. Computational Statistical Data Analysis
Computationally intensive statistics often used in modern data analysis: Monte Carlo Methods, cross validation, non-parametric regression, clustering and classification, data visualization and diagnostics. Prereq.: 321, and 417-517 or 447-547; or consent of instructor. 3 Cr. DEMAND.
