JMP Books and Documentation

The following books are recommended reading for JMP users. They cover a wide range of topics from introductory statistics to advanced predictive analytics and scripting.

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 5th Edition
by John Sall, Ann Lehman, Mia Stephens and Sheila Loring
Published: 2012 | ISBN: 978-1-61290-170-4
The definitive introductory guide to statistics using JMP. Covers data exploration, distributions, hypothesis testing, regression, ANOVA and more with step-by-step examples. Ideal for students and professionals new to statistical analysis.
JMP Essentials: An Illustrated Guide for New Users, 2nd Edition
by Curt Hinrichs and Chuck Boiler
Published: 2014 | ISBN: 978-1-62959-039-4
A concise, visual introduction to JMP for new users. Learn to import data, create graphs, run basic analyses and share results quickly and effectively.
Fundamentals of Predictive Analytics with JMP, 2nd Edition
by Ron Klimberg and B.D. McCullough
Published: 2016 | ISBN: 978-1-62960-315-5
Introduces predictive analytics and data mining using JMP. Covers data preparation, decision trees, neural networks, logistic regression and model assessment with practical examples and exercises.
Practical Data Analysis with JMP, 3rd Edition
by Robert Carver
Published: 2019 | ISBN: 978-1-63526-536-7
A practical approach to data analysis using JMP. Each chapter introduces a statistical technique with real-world data sets, making it suitable for both classroom use and self-study.
JSL Companion: Applications of the JMP Scripting Language, 2nd Edition
by Theresa Utlaut, Kevin Anderson and Michele Weidinger
Published: 2017 | ISBN: 978-1-62960-279-0
The essential reference for JMP scripting. Covers data manipulation, building custom reports, creating interactive displays and automating workflows with JSL (JMP Scripting Language). Includes many practical code examples.
JMP for Basic Univariate and Multivariate Statistics, 2nd Edition
by Ann Lehman, Norm O'Rourke, Larry Hatcher and Edward Stepanski
Published: 2013 | ISBN: 978-1-61290-791-1
Methods and applications for basic univariate and multivariate statistics. Covers descriptive statistics, t-tests, ANOVA, correlation, regression, principal component analysis and cluster analysis using JMP.
Statistics: Learning from Data
by Roxy Peck and Tom Short
Published: 2018 | ISBN: 978-1-337-55838-3
A comprehensive introductory statistics textbook that uses JMP for data analysis. Covers data collection, descriptive methods, probability, inference and regression with numerous real-world examples.
JMP Means Business: Statistical Models for Management
by Josef Schmee and Jane Oppenlander
Published: 2010 | ISBN: 978-1-59994-980-9
Statistical models for business applications using JMP. Covers descriptive statistics, probability models, sampling, confidence intervals, hypothesis testing, regression and time series — all with a business management focus.

Browse the full range of JMP books at the JMP Bookstore.