Mia L. Stephens
Principal Product Manager, JMP

Mia L. Stephens is a Principal Product Manager with JMP, a division of SAS. 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 SallAnn LehmanMia 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.

Mia Stephens | SAS Support

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.

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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

Visual Six Sigma: Making Data Analysis Lean

By Ian Cox, Marie Gaudard, Philip Ramsey, Mia Stephens, and Leo Wright

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