| "The Penn State Online experience has allowed me to aggressively pursue my college degree while maintaining my relationship with my wife and four children while remaining successful in my profession." —Gerard DeMarigny, undergraduate student
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Course List
Graduate Certificate in Applied Statistics (12 credits)
| Required Courses (6 credits) |
| STAT 500 |
Applied Statistics
Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, chi-square tests, diagnostics.
Prerequisite: 3 credits in statistics |
3 credits |
| STAT 501 |
Regression Methods
Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.
Prerequisites: 6 credits of statistics or STAT 500; matrix algebra |
3 credits |
| Elective Courses (6 credits)—choose the courses that best meet your goals from the following list |
| STAT 480 |
Introduction to Statistical Program Packages
Selection and evaluation of statistical computer packages.
Prerequisite: 3 credits in statistics |
1 credit |
| STAT 481 |
Intermediate SAS for Data Management
Intermediate SAS for data management.
Prerequisite: STAT 480 |
1 credit |
| STAT 502 |
Analysis of Variance and Design of Experiments
Analysis of variance and design concepts; factorial, nested, and unbalanced data; ANCOVA; blocked, Latin square, split-plot, repeated measures designs.
Prerequisite: STAT 462 or STAT 501 |
3 credits |
| STAT 503 |
Design of Experiments
Design principles; optimality; confounding in split-plot, repeated measures, fractional factorial, response surface, and balanced/partially balanced incomplete block designs.
Prerequisites: STAT 462 or STAT 501; STAT 502 |
3 credits |
| STAT 504 |
Analysis of Discrete Data
Models for frequency arrays; goodness-of-fit tests; two-, three-, and higher-way tables; latent and logistics models.
Prerequisites: STAT 500 and 501; matrix algebra |
3 credits |
| STAT 505 |
Applied Multivariate Statistical Analysis
Analysis of multivariate data; T-squared tests; partial correlation; discrimination; MANOVA; cluster analysis; regression; growth curves; factor analysis; principal components; canonical correlations.
Prerequisites: STAT 500 and 501; matrix algebra |
3 credits |
| STAT 509 |
Design and Analysis of Clinical Trials
An introduction to the design and statistical analysis of randomized and observational studies in biomedical research.
Prerequisite: STAT 500 |
3 credits |
| GEOG 483 |
Problem-Solving with GIS
How geographic information systems facilitate data analysis and communication to address common geographic problems.
Prerequisite: GEOG 482 |
3 credits |
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