Mia L. Stephens
Advisory Product Manager, JMP
Mia L. Stephens is an Advisory Product Manager with JMP. Prior to joining SAS, she was an adjunct professor at the University of New Hampshire and a partner in the North Haven Group, a statistical training and consulting company. Also a coauthor of JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Fifth Edition and Building Better Models with JMP® Pro, she has developed courses and training materials, taught, and consulted within a variety of manufacturing and service industries. Stephens holds an MS in statistics from the University of New Hampshire and is located in York Harbor, Maine.
By This Author
JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Sixth Edition
By John Sall, Ann Lehman, Mia Stephens, and Sheila Loring
This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.
Building Better Models with JMP® Pro
By Jim Grayson, Sam Gardner, and Mia Stephens
This book provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems.
Visual Six Sigma: Making Data Analysis Lean, Second Edition
By Marie Gaudard, Mia Stephens and Ian Cox
Visual Six Sigma: Making Data Analysis Lean, Second Edition allows you to make sound business decisions faster by understanding the patterns of variation in your data and separating it into useful signal and random noise. Leading with a visual approach to analysis, it presents underlying principles, concepts, and a detailed roadmap that enable you to take an active role in data-driven process improvement and decision making. It empowers you to use your contextual knowledge to pose relevant questions, get good answers, and make sound decisions.
JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Fifth Edition
By John Sall, Ann Lehman, Mia Stephens, and Lee Creighton
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition, is the perfect mix of software manual and statistics text. Authors John Sall, Ann Lehman, Mia Stephens, and Lee Creighton provide hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.
*This book is out of print and has been replaced by a new edition, JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Sixth Edition
Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.