OPEN.ED@PSU Courses

STAT 414: Introduction to Probability Theory

Study probability theory: assign and compute probabilities, work with discrete and continuous random variables, joint and conditional distributions, and functions of random variables via moment-generating techniques.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 415: Introduction to Mathematical Statistics

Build a statistics toolbox from theory: derive point estimates, confidence intervals, hypothesis tests, ANOVA, least-squares regression, chi-square and nonparametric tests, plus basic Bayesian methods.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 480: Introduction to SAS

Learn SAS programming basics: manage and manipulate data sets, run exploratory data analysis, and build toward the SAS Version 9 Base Programming Certification Exam.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 481: Intermediate SAS

Extend SAS programming to an intermediate level with data management and manipulation techniques, good programming practices, and preparation for the SAS Version 9 Base Programming Certification Exam.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 482: Advanced Topics in SAS

Extend SAS programming to an advanced level: apply commonly used statistical procedures, manage and manipulate data, and apply good programming practices.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 484: Topics in R Statistical Language

Learn R as a language, not just a package: manage and manipulate data, run common statistical procedures, make graphics, and document analyses using the CRAN toolkit.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 485: Intermediate Topics in R Statistical Language

Use R for common statistical analyses, build sophisticated graphics, write simple programs, and document data manipulation while collaborating with the wider R user community.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 500: Applied Statistics

Review probability, common distributions, and statistical methods, then apply them to summarize and analyze experimental data, run techniques in Minitab, and report results for a thesis.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 501: Regression Methods

Model how a response variable relates to one or more predictors: fit, interpret, and apply linear regression models to data, with worked Minitab examples.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 502: Analysis of Variance and Design of Experiments

Design and analyze experiments with ANOVA: randomization and blocking, crossed and nested factors, random and fixed effects, split plot, crossover designs, and ANCOVA.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 503: Design of Experiments

Design the experiment before the data exist: apply randomized blocks, Latin squares, 2k factorial and fractional designs, response surface methods, split-plot and repeated measures analyses.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 504: Analysis of Discrete Data

Analyze discrete and categorical responses: work with contingency tables, generalized linear models, and logit and log-linear methods, computing and interpreting results in R and SAS.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 505: Applied Multivariate Statistical Analysis

Select and interpret multivariate methods — MANOVA, principal component analysis, factor analysis, canonical correlation, classification and clustering — writing SAS or Minitab programs to run them.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 506: Sampling Theory and Methods

Design and analyze surveys: build sampling procedures that let data be summarized with minimal assumptions, for research and management across fields.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 507: Epidemiological Research Methods

Design epidemiological studies: work with disease measures and study designs, spot bias, confounding and effect modification, analyze data with multivariable methods, and write proposals and reports.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course