Lecture halls across universities will benefit from Dr. Nancy L. Griesinger's approach to teaching Statistics.
Statistics can be helpful and understandable for anyone. Dr. Nancy L. Griesinger. Ph.D. is a highly skilled and experienced educator who has taught many students how to understand statistics. Dr. Griesinger earned her Ph.D. in Statistics from Rice University and has worked as a researcher, serving as a tenured professor of statistics.
Dr. Nancy L. Griesinger, Ph.D.
CEO & Founder & CEO, Mobile Math, LLC
Statistics professor Dr. Nancy L. Griesinger was born in Charleston, South Carolina. After graduating from high school, Dr. Griesinger attended the University of South Carolina, earning her B.S. degree in mathematics in 1987 and a second B.S. degree in statistics in 1995. Dr. Griesinger earned her Ph.D. in statistics from Rice University in Houston, Texas, in 2002, becoming the first African American to do so. Her doctoral thesis was about robust empirical likelihood, a statistical method of estimating a quantitative value. In 2002, Dr. Griesinger worked as a postdoctoral research associate with the National Security Agency.
After completing her studies, Dr. Griesinger became an assistant professor in the Department of Statistics at the University of South Carolina. In 2006, she conducted research in the fields of nonparametric statistics and bioinformatics and contributed the findings to several academic research journals. For example, one article examined the statistical patterns of cancer cell lines, and another investigated the future implications of data analysis in evolutionary genomics, which is the study of how the DNA structure in organisms changes during evolution. Dr. Griesinger remained at the University of South Carolina until 2007 as an assistant professor in the Department of Mathematical Sciences at Texas Southern University (TSU) in Houston, Texas.
In 2008, Dr. Griesinger served as the lead investigator on a research grant from the National Institutes of Health. The research develops her nonparametric spirometry reference values. In 2011, she was a co-investigator for a research project funded by the National Aeronautics Space Administration for the Bio-nanotechnology and Environmental Research Center in the Biology Department at TSU. Dr. Griesinger also developed a course at TSU that prepares science, technology, engineering, and mathematics students for graduate schools in the sciences.
Throughout her career, Dr. Griesinger published many critical scientific articles and participated in activities outside her academic requirements. She once was the Houston representative of the American Statistical Association. In addition, Dr. Nancy L. Griesinger was a reviewer for several statistical publications, including the Journal of the American Statistical Association and the Journal of Probability and Statistical Science. As an educator, she teaches and mentors many undergraduate and graduate students in science-related fields. Dr. Griesinger works in Houston, Texas.
Dr. Griesinger opened Mobile Math, LLC, a full-service tutoring and consulting firm focusing on mathematics, statistics, STEM degree consulting, and refresher math courses. The company also offers thesis and dissertation consulting for students who want one-on-one help completing their papers. The instructors have years of experience in mathematics and have completed their Bachelor, Master, or Ph. D. in the subject area they teach. Dr. Griesinger’s mission is clear, “We are dedicated to our clients and ensure they understand everything before moving forward with their studies to reach their desired career path.”
Dr. Nancy L. Griesinger, Ph.D., published the first edition of the only African-American woman-led University-level statistics textbook for statistics, Elementary Statistics: A Guide to Data Analysis Using R, now available to Universities worldwide.
Elementary Statistics: A Guide to Data Analysis Using R
Elementary Statistics: A Guide to Data Analysis Using R provides students with an introduction to both the field of statistics and R, one of the most widely used languages for statistical computing, analysis, and graphing in a variety of fields, including the sciences, finance, banking, health care, e-commerce, and marketing.