Ann Lehman
JMP Consultant
Ann Lehman, PhD, joined SAS Institute in 1979 and is retired and working as a JMP consultant doing applications programming and statistical documentation. She has been working with JMP since its inception in 1988. A co-author of JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition, and JMP Start Statistics, Ann has a diverse background that includes editing and writing SAS user's guides, writing and teaching SAS courses, and serving as technical editor of the JMPer Cable, JMP's technical newsletter.
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.
JMP® for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
By Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition is a user-friendly book that introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
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from your local bookstore or favorite online bookseller.
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*This book is out of print and has been replaced by a new edition, JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Sixth Edition
JMP® Start Statistics: A Guide to Statistics and Data Analysis Using JMP®, Fourth Edition
By John Sall, Lee Creighton, and Ann Lehman
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Written by John Sall, Lee Creighton, and Ann Lehman, this book is a great tool for statistics students or practitioners needing a software-related statistics review.
JMP® for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide
By Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski
*Replaced by a new edition, JMP® for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
Awards
2013-2014 Society for Technical Communication Carolina Chapter Technical Publications Competition
Award of Excellence-
JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition
Featured Authors
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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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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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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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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.