Robert Parody Headshot

Robert Parody

Associate Professor

School of Mathematical Sciences
College of Science
Director, Applied Statistics MS Program
Associate Head, Statistics

585-475-5288
Office Location

Robert Parody

Associate Professor

School of Mathematical Sciences
College of Science
Director, Applied Statistics MS Program
Associate Head, Statistics

Education

BS, Clarkson University; MS, Rochester Institute of Technology; Ph.D., University of South Carolina

Bio

Previously, Dr. Parody worked in industry as a quality consultant and six sigma blackbelt improving processes and products. He has experience in industries such as pharmaceuticals, medical devices, filtration, and aluminum casting.

585-475-5288

Currently Teaching

STAT-791
0 Credits
This course is a graduate course for students enrolled in the Thesis/Project track of the MS Applied Statistics Program. (Enrollment in this course requires permission from the Director of Graduate Programs for Applied Statistics.)
STAT-799
1 - 3 Credits
Credit will be assigned at the discretion of the department. A written proposal of the work involved will be required of the candidate, and may be modified at the discretion of the faculty involved before approval is given to proceed.
STAT-614
3 Credits
Statistical tools for modern data analysis can be used across a range of industries to help you guide organizational, societal and scientific advances. This course is designed to provide an introduction to the tools and techniques to accomplish this. Topics covered will include continuous and discrete distributions, descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one-way ANOVA and Chi-square tests.
STAT-784
3 Credits
The course develops statistical methods for modeling and analysis of data for which the response variable is categorical. Topics include: contingency tables, matched pair analysis, Fisher's exact test, logistic regression, analysis of odds ratios, log linear models, multi-categorical logit models, ordinal and paired response analysis.
STAT-775
3 Credits
This is a graduate level survey course that stresses the concepts of statistical design and analysis for clinical trials. Topics include the design, implementation, and analysis of trials, including treatment allocation and randomization, factorial designs, cross-over designs, sample size and power, reporting and publishing, etc. SAS for Windows statistical software will be used throughout the course for data analysis.
STAT-790
1 - 6 Credits
This course is a graduate course for students enrolled in the Thesis/Project track of the MS Applied Statistics Program. (Enrollment in this course requires permission from the Director of Graduate Programs for Applied Statistics.)
STAT-670
3 Credits
How to design and analyze experiments, with an emphasis on applications in engineering and the physical sciences. Topics include the role of statistics in scientific experimentation; general principles of design, including randomization, replication, and blocking; replicated and unreplicated two-level factorial designs; two-level fractional-factorial designs; response surface designs.
STAT-205
3 Credits
This course covers basic statistical concepts and techniques including descriptive statistics, probability, inference, and quality control. The statistical package Minitab will be used to reinforce these techniques. The focus of this course is on statistical applications and quality improvement in engineering. This course is intended for engineering programs and has a calculus prerequisite. Note: This course may not be taken for credit if credit is to be earned in STAT-145 or STAT-155 or MATH 252..
STAT-495
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
STAT-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.