Raymond D. Mooring, Ph.D.

Scope:

Science – Statistical Analysis, Biostatistics, Abstracts, Dissertations and Theses, Reports, Research Papers, Presentations, Curriculum Development, Fact Checking

Technical – Statistical Analysis, Tutorials and Training Materials, White Papers, Reports

Social Science – Statistical Analysis, Market Research Survey Design

Business – Statistical Analysis
SPSS, SAS, MATLAB, statistical analysis, developing methodology for experiments, statistics tutor (will provide lecture notes that explain statistical techniques simply), data entry, preparation of tables and graphs, writing reports of findings, nonparametric data analysis, time series analysis, spectral analysis, forecasting and prediction, model creation and validation, spatial analysis, design of experiments, hypothesis testing, principal component analysis, Anova and regression analysis, clustering methods, applying statistical methods to scientific data (e.g. environmental science, biology, physics), applying statistical methods to social science data (e.g. psychology, sociology, economics), applying statistical methods to financial data (e.g. finance, business, and marketing), survey design, distribution fitting of data, statistics education of non-math majors.

Professional Experience: 

US Department of Treasury – IRS, Atlanta, GA
Independent Statistical Consultant,  Nationwide
Research Technician I, Georgia Tech, Atlanta, GA
Visiting Scientist, Florida State University, Tallahassee, FL
Graduate Research Assistant, Georgia Tech, Atlanta, GA

Education:

GEORGIA INSTITUTE OF TECHNOLOGY, Atlanta, GA
Ph.D. – Earth and Atmospheric Sciences, Statistical Climatology concentration
M.S. – Statistics
M.S. – Earth and Atmospheric Sciences

MORGAN STATE UNIVERSITY, Baltimore, MD
B.S. – Mathematics, Geography Minor, Magna Cum Laude

 Technical Skills:

Statistical Methods

 Computer Languages 

 SAS Certifications 

Dr. Mooring has spent nearly a decade studying, teaching, and analyzing statistics.  He received a Ph.D. in Atmospheric Science with a concentration in Statistical Climatology from Georgia Institute of Technology.  He also received a Master of Science in Statistics and another Master of Science in Atmospheric Science, both from Georgia Tech as well.  As a result, Dr. Mooring has presented his original research in statistical climatology throughout the world including at scientific conferences in South Africa, Japan, France, Greece, Canada, and the United States. 

While working for the US Department of Treasury as a Statistician, Ray has authored or co-authored over 25 sensitive, but unclassified technical reports.  In this capacity, he conducted data analysis for research teams, provided assistance to other analysts when initiating, planning, implementing, controlling, modifying, and executing all parts of a research project, and reviewed and analyzed all material produced for studies for reasonableness and accuracy. 

Ray has taught statistics to undergraduate business majors and graduate MBA students at Clark Atlanta University and to undergraduates at Georgia State University.  He currently is an Adjunct Professor at Clayton State University where he teaches statistics to non-Math majors.  In addition, Ray has provided statistical support to students in diverse fields such as climatology, mechanical engineering, electrical engineering, chemistry, education, finance, biology, and even ministry.   

Ray can help clients demystify statistics.  Regardless if you need help in conceptualizing the methodology section of your dissertation, setting up your experiments, analyzing your results, interpret your results, or proving or disproving your company’s hypothesis, Ray will be able to provide you with accurate answers that are easy to understand and actionable.   

Finally, Ray takes pride in teaching others statistics.  As a result, he will teach short statistics courses to your department or company.  If you do not have a training budget for your employees, providing a short course is an economical way to train several employees in the fundamentals and applications of statistics.  Short course notes may also be provided if you like.