Skip Navigation
search: People | Departments | Penn State | Web
Penn State mark
Penn State mark
University Bulletin
Graduate Degree Programs

Statistics (STAT)

STAT 401 Experimental Methods (3) Random variables; probability density functions; estimation; statistical tests, t-tests; correlation; simple linear regression; one-way analysis of variance; randomized blocks.
Effective: Spring 1988
Prerequisite: MATH 111 orMATH 141  

STAT 414 (MATH 414) Introduction to Probability Theory (3) Probability spaces, discrete and continuous random variables, transformations, expectations, generating functions, conditional distributions, law of large numbers, central limit theorems. Students may take only one course from STAT(MATH) 414 and 418.
Effective: Fall 2001
Prerequisite: MATH 230 orMATH 231  

STAT 415 (MATH 415) Introduction to Mathematical Statistics (3) A theoretical treatment of statistical inference, including sufficiency, estimation, testing, regression, analysis of variance, and chi-square tests.
Effective: Fall 1989
Prerequisite: MATH 414  

STAT 416 (MATH 416) Stochastic Modeling (3) Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death processes, estimation.
Effective: Spring 1984
Prerequisite: STAT 318 orSTAT 414;MATH 230  

STAT 418 (MATH 418) Introduction to Probability and Stochastic Processes for Engineering (3) Introduction to probability axioms, combinatorics, random variables, limit laws, and stochastic processes. Students may take only one course from MATH(STAT) 414 and 418 for credit.
Effective: Fall 2011
Prerequisite: MATH 230 orMATH 231  

STAT 440 Computational Statistics (3) Topics related to computing in statistics, including numerical linear algebra, optimization, simulation, numerical integration, and bootstrapping.
Effective: Spring 2006
Prerequisite: STAT 200 or equivalentSTAT 415, MATH 220  

STAT 460 Intermediate Applied Statistics (3) Review of hypothesis testing, goodness-of-fit tests, regression, correlation analysis, completely randomized designs, randomized complete block designs, latin squares.
Effective: Summer 2015
Prerequisite: STAT 200, STAT 240, STAT 250, STAT 301 orSTAT 401  

STAT 461 Analysis of Variance (3) Analysis of variance for single and multifactor designs; response surface methodology.
Effective: Summer 2015
Prerequisite: STAT 200, STAT 240, STAT 250, STAT 301 orSTAT 401  

STAT 462 Applied Regression Analysis (3) Introduction to linear and multiple regression; correlation; choice of models, stepwise regression, nonlinear regression.
Effective: Summer 2015
Prerequisite: STAT 200, STAT 240, STAT 250, STAT 301 orSTAT 401  

STAT 463 Applied Time Series Analysis (3) Identification of models for empirical data collected over time; use of models in forecasting.
Effective: Spring 2006
Prerequisite: STAT 462  

STAT 464 Applied Nonparametric Statistics (3) Tests based on nominal and ordinal data for both related and independent samples. Chi-square tests, correlation.
Effective: Summer 2015
Prerequisite: STAT 200, STAT 240, STAT 250, STAT 301 orSTAT 401  

STAT 466 Survey Sampling (3) Introduction to design and analysis of sample surveys, including questionnaire design, data collection, sampling methods, and ratio and regression estimation.
Effective: Summer 2015
Prerequisite: STAT 200, STAT 240, STAT 250, STAT 301 orSTAT 401  

STAT 470W Problem Solving and Communication in Applied Statistics (3) Provide problem solving and communication skills through development of writing ability, interaction with peers and the SCC, and oral presentations.
Effective: Spring 2015
Prerequisite: STAT 461, STAT 462, STAT 480 orSTAT 483  

STAT 480 Introduction to SAS (1) Introduction to SAS with emphasis on reading, manipulating and summarizing data.
Effective: Spring 2008
Prerequisite: 3 credits in statistics  

STAT 481 Intermediate SAS for Data Management (1) Intermediate SAS for data management.
Effective: Summer 2007
Prerequisite: STAT 480  

STAT 482 Advanced Topics in SAS (1) Advanced statistical procedures in SAS, including ANOVA, GLM, CORR, REG, MANOVA, FACTOR, DISCRIM, LOGISTIC, MIXED, GRAPH, EXPORT, and SQL.
Effective: Summer 2009
Prerequisite: STAT 480 andSTAT 481  

STAT 483 Statistical Analysis System Programming (3) Introduction, intermediate, and advanced topics in SAS. Credit can not be received for both STAT 483 and STAT 480/481/482.
Effective: Summer 2009
Prerequisite: 3 credits in statistics  

STAT 484 The R Statistical Programing Language (1) Builds an understanding of the basic syntax and structure of the R language for statistical analysis and graphics.
Effective: Summer 2016
Prerequisite: 3 Credits of Statistics  

STAT 485 Intermediate R Statistical Programming Language (1) Builds an understanding of the basic syntax and structure of the R language for statistical analysis and graphics.
Effective: Summer 2016
Prerequisite: STAT 502 andSTAT 484  

STAT 494 Research Project (1-12) Supervised student activities on research projects identified on an individual or small group basis.
Effective: Fall 2007
Prerequisite: 6 credits in statistics  

STAT 494H Research Project (1-12) Supervised student activities on research projects identified on an individual or small group basis.
Effective: Fall 2007
Prerequisite: 6 CREDITS IN STATISTICS  

STAT 495 Internship (1-18) Supervised off-campus, nongroup instruction including field experiences, practica, or internships.
Effective: Fall 2007
Prerequisite: 6 credits in statistics  

STAT 496 Independent Studies (1-18) Creative projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.
Effective: Fall 1983
 

STAT 497 Special Topics (1-9) Formal courses given infrequently to explore, in depth, a comparatively narrow subject which may be topical or of special interest.
Effective: Fall 1983
 

STAT 499 (IL) Foreign Studies (1-12) Courses offered in foreign countries by individual or group instruction.
Effective: Summer 2005
 

STAT 500 Applied Statistics (3) Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and 2-way ANOVA, Chi-square tests, diagnostics.
Effective: Spring 1999
Prerequisite: one undergraduate course in statistics  

STAT 501 Regression Methods (3) Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.
Effective: Fall 2006
Prerequisite: STAT 500 or equivalent; matrix algebra  

STAT 502 Analysis of Variance and Design of Experiments (3) Analysis of variance and design concepts; factorial, nested, and unbalanced data; ANCOVA; blocked, Latin square, split-plot, repeated measures designs.
Effective: Fall 1995
Prerequisite: STAT 462 orSTAT 501  

STAT 503 Design of Experiments (3) Design principles; optimality; confounding in split-plot, repeated measures, fractional factorial, response surface, and balanced/partially balanced incomplete block designs.
Effective: Fall 1983
Prerequisite: STAT 462 orSTAT 501;STAT 502  

STAT 504 Analysis of Discrete Data (3) Models for frequency arrays; goodness-of-fit tests; two-, three-, and higher- way tables; latent and logistic models.
Effective: Fall 1983
Prerequisite: STAT 460 orSTAT 502 orSTAT 516 ; matrix algebra  

STAT 505 Applied Multivariate Statistical Analysis (3) Analysis of multivariate data; T2-tests; particle correlation; discrimination; MANOVA; cluster analysis; regression; growth curves; factor analysis; principal components; canonical correlations.
Effective: Spring 2003
Prerequisite: MATH 441, STAT 501, STAT 502  

STAT 506 Sampling Theory and Methods (3) Theory and application of sampling from finite populations.
Effective: Fall 1983
Prerequisite: calculus; 3 credits in statistics  

STAT 507 Epidemiologic Research Methods (3) Research and quantitative methods for analysis of epidemiologic observational studies. Non-randomized, intervention studies for human health, and disease treatment.
Effective: Spring 2005
Prerequisite: STAT 250 or equivalent  

STAT 509 Design and Analysis of Clinical Trials (3) An introduction to the design and statistical analysis of randomized and observational studies in biomedical research.
Effective: Fall 2004
Prerequisite: STAT 500  

STAT 510 Applied Time Series Analysis (3) Identification of models for empirical data collected over time. Use of models in forecasting.
Effective: Fall 1983
Prerequisite: STAT 462 orSTAT 501 orSTAT 511  

STAT 511 Regression Analysis and Modeling (3) Multiple regression methodology using matrix notation; linear, polynomial, and nonlinear models; indicator variables; AOV models; piece-wise regression, autocorrelation; residual analyses.
Effective: Fall 2006
Prerequisite: STAT 500 or equivalent; matrix algebra; calculus  

STAT 512 Design and Analysis of Experiments (3) AOV, unbalanced, nested factors; CRD, RCBD, Latin squares, split-plot, and repeatd measures; incomplete block, fractional factorial, response surface designs; confounding.
Effective: Spring 1984
Prerequisite: STAT 511  

STAT 513 Theory of Statistics I (3) Probability models, random variables, expectation, generating functions, distribution theory, limit theorems, parametric families, exponential families, sampling distributions.
Effective: Summer 1986
Prerequisite: MATH 230  

STAT 514 Theory of Statistics II (3) Sufficiency, completeness, likelihood, estimation, testing, decision theory, Bayesian inference, sequential procedures, multivariate distributions and inference, nonparametric inference.
Effective: Summer 1986
Prerequisite: STAT 513  

STAT 515 Stochastic Processes and Monte Carlo Methods (3) Conditional probability and expectation, Markov chains, Poisson processes, Continuous-time Markov chains, Monte Carlo methods, Markov chain Monte Carlo.
Effective: Spring 2013
Prerequisite: MATH 414, STAT 414 orSTAT 513  

STAT 517 (MATH 517) Probability Theory (3) Measure theoretic foundation of probability, distribution functions and laws, types of convergence, central limit problem, conditional probability, special topics.
Effective: Summer 2000
Prerequisite: MATH 403  

STAT 518 (MATH 518) Probability Theory (3) Measure theoretic foundation of probability, distribution functions and laws, types of convergence, central limit problem, conditional probability, special topics.
Effective: Fall 1983
Prerequisite: STAT 517  

STAT 519 (MATH 519) Topics in Stochastic Processes (3) Selected topics in stochastic processes, including Markov and Wiener processes; stochastic integrals, optimization, and control; optimal filtering.
Effective: Fall 1984
Prerequisite: STAT 516, STAT 517  

STAT 525 Survival Analysis I (3) Location estimation, 2- and K- sample problems, matched pairs, tests for association and covariance analysis when the data are censored.
Effective: Summer 1992
Prerequisite: STAT 512, STAT 514  

STAT 540 Statistical Computing (3) Computational foundations of statistics; algorithms for linear and nonlinear models, discrete algorithms in statistics, graphics, missing data, Monte Carlo techniques.
Effective: Fall 1983
Prerequisite: STAT 501 orSTAT 511;STAT 415 ; matrix algebra  

STAT 544 Categorical Data Analysis I (3) Two-way tables; generalized linear models; logistic and conditional logistic models; loglinear models; fitting strategies; model selection; residual analysis.
Effective: Summer 1992
Prerequisite: STAT 512, STAT 514  

STAT 551 Linear Models I (3) A coordinate-free treatment of the theory of univariate linear models, including multiple regression and analysis of variance models.
Effective: Spring 1987
Prerequisite: MATH 415 orSTAT 415 orSTAT 514;STAT 512;MATH 436 orMATH 441  

STAT 552 Linear Models II (3) Treatment of other normal models, including generalized linear, repeated measures, random effects, mixed, correlation, and some multivariate models.
Effective: Spring 1987
Prerequisite: STAT 551  

STAT 553 Asymptotic Tools (3) A rigorous but non-measure-theoretic introduction to statistical large-sample theory for Ph.D. students.
Effective: Summer 2004
Prerequisite: STAT 513 andSTAT 514  

STAT 555 (BIOL 555, MCIBS 555) Statistical Analysis of Genomics Data (3) Statistical Analysis of High Throughput Biology Experiments.
Effective: Fall 2016
 

STAT 557 Data Mining I (3) This course introduces data mining and statistical/machine learning, and their applications in information retrieval, database management, and image analysis.
Effective: Fall 2015
Prerequisite: STAT 318 orSTAT 416 and basic programming skills  

STAT 558 (IST 558) Data Mining II (3) Advanced data mining techniques: temporal pattern mining, network mining, boosting, discriminative models, generative models, data warehouse, and choosing mining algorithms.
Effective: Summer 2010
Prerequisite: STAT 557 orIST 557  

STAT 561 Statistical Inference I (3) Classical optimal hypothesis test and confidence regions, Bayesian inference, Bayesian computation, large sample relationship between Bayesian and classical procedures.
Effective: Spring 2003
Prerequisite: STAT 514   Concurrent: STAT 517

STAT 562 Statistical Inference II (3) Basic limit theorems; asymptotically efficient estimators and tests; local asymptotic analysis; estimating equations and generalized linear models.
Effective: Spring 2003
Prerequisite: STAT 561  

STAT 565 Multivariate Analysis (3) Theoretical treatment of methods for analyzing multivariate data, including Hotelling's T2, MANOVA, discrimination, principal components, and canonical analysis.
Effective: Spring 1987
Prerequisite: STAT 505, STAT 551  

STAT 580 Statistical Consulting Practicum I (2) General principles of statistical consulting and statistical consulting experience. Preparation of reports, presentations, and communication aspects of consulting are discussed.
Effective: Spring 2005
Prerequisite: STAT 502;STAT 503, STAT 504, STAT 506  

STAT 581 Statistical Consulting Practicum II (1 per semester/maximum of 2) Statistical consulting experience including client meetings, development of recommendation reports, and discussion of consulting solutions.
Effective: Summer 2004
Prerequisite: STAT 580  

STAT 584 (CSE 584) Machine Learning: Tools and Algorithms (3) Computational methods for modern machine learning models, including applications to big data and non-differentiable objective functions.
Effective: Fall 2015
 

STAT 590 Colloquium (1-3) Continuing seminars which consist of a series of individual lectures by faculty, students, or outside speakers.
Effective: Spring 1987
 

STAT 592 Teaching Statistics (1) This course is designed to help students become better teachers and communicators of statistics.
Effective: Summer 2015
 

STAT 596 Individual Studies (1-9) Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
Effective: Spring 1987
 

STAT 597 Special Topics (1-9) Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Effective: Spring 1987
 

STAT 600 Thesis Research (1-15) No description.
Effective: Fall 1983
 

STAT 601 Ph.D. Dissertation Full-Time (0) No description.
Effective: Fall 1983
 

STAT 610 Thesis Research Off Campus (1-15) No description.
Effective: Fall 1983
 

STAT 611 Ph.D. Dissertation Part-Time (0) No description.
Effective: Fall 1983
 

STAT 800 Applied Research Methods (3) Investigates methods for assessing data collected from experimental and/or observational studies in various research setting.
Effective: Spring 2014
 

STAT 897 Special Topics (1-9) Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Effective: Spring 2008
 

Last Import from UCM: May 27, 2017 3:00 AM

Search
CourseInfo

Look up course abbreviations

Course descriptions are stored in LionPATH, the University-wide student information system. Please visit the LionPATH Course Catalog to access current course descriptions. At that point, you will be leaving the University Bulletin website.



Skip Popular Searches
  1. Graduate Course Descriptions
  2. Graduate Programs
  3. Doctoral Degree Requirements
  4. Master's Degree Requirements
  5. Application and Admission Procedures
  6. Credit Certificate Programs
  7. General Information
  8. Tuition and Cost
  9. Intercollege
    Programs
  10. Academic Information and Procedures