Expertise

Dr. Hayter's expertise includes all areas of probability and statistics, sampling, regression, extrapolation, data analysis and collection, statistical significance, hypothesis testing, p-values, prediction, estimation, forecasting, risk analysis, surveys, modeling, quality control, data mining, and experimental design.

Biography At-a-Glance

Dr. Hayter has been a Full Professor and Chair of the Department of Statistics and Operations Technology at the Daniels College of Business since 2006. Previously he held academic positions at Georgia Institute of Technology and Ohio State University. Dr. Hayter received his Ph.D. from Cornell University in 1985. Dr. Hayter is the author of a textbook on probability and statistics, now in the 4th edition, adopted worldwide, and has been the Keynote Speaker at international conferences.

Dr. Hayter has over 65 refereed publications, and over 25 years of university teaching with top level student evaluations.
He has presented over 75 invited seminars worldwide.
When working with the media, Dr. Hayter is able to discuss the application of statistics, probability, and data analysis.

Education

• Ph.D., Statistics, Cornell University
• MSc, Statistics, Cornell University
• MA, Mathematics, Cambridge University
• BA, Mathematics, Cambridge University

Academic Leadership Positions Held

• Chair, Department of Statistics and Operations Technology Daniels College of Business

Academic Positions Held

• Professor,  Daniels College of Business
• Associate Professor, Georgia Institute of Technology
• Visiting Assistant Professor, Ohio State University
• Lecturer, University of Bath, United Kingdom

Courses Taught

Statistics and Applications; Probability Theory and Applications; Introduction to Statistical Methods; Design of Experiments; Quality Control; Stochastic Processes; Mathematical Theory of Statistics; Statistical Multiplicity and High-Dimensional Computation; Statistical Modeling and the Design of Experiments; Probability and Statistics; Nonparametric Data Analysis; Linear Regression Analysis; Categorical Data Analysis; Topics in Nonlinear Regression; Advanced Experimental Design; Mathematical Theory of Statistics; Advanced Linear Models; Survival Analysis and Reliability Theory; Business Statistics

Workshop for business leaders on "The Importance of Statistical and Quantitative Analytical Skills in Business and Management Today - how they can help you if you have them, or hurt you if you don't have them."
Module 1 – Using Data Effectively
Module 2 – The Data Analyst's Toolbox – Extracting Information from Data
Module 3 – Building Models for Understanding and Prediction
Module 4 – What can Probability Theory do for You?
Module 5 – Ethical Considerations in Probability and Statistics.