
If you find yourself confronted with JMP and have not got a clue how to start - order this book and have it shipped express. My edition came with a disk full of data examples that follow the text. The explanations are clear and illuminating. The illustrations of the menus, options and graphs within JMP are faithful to the program. The style is technical but light and accessible to advanced undergraduates. JMP and this book assume that you are already well grounded in statistics. While there is a worthy section called "What are Statistics" and there is considerable discussion of the limits of statistical knowledge, I would not recommend that you buy this book as a statistics text. (latest version is JMP 16.2) R-Project is a free Statistical/Graphics Software Package similar to Splus available on the Windows, Macintosh, and Linux Platforms (latest version is R-4.1.3) SAS is. There are sections on experimental design and statistical quality control. JMP is a powerful statistical package most widely used in undergraduate statistics course. One section is even called "The Personality of JMP." The program definitely has a personality and this book explains even that quickly and well.įrom here the book launches into the various tools in JMP, from categorical models, to regression analysis to linear fitting. The book would have reduced the process to 30 minutes - that alone is worth the price. I had already figured this out on my own before I got the book but it took an entire afternoon. The book starts by explaining the system behind the analysis tools in JMP.

It was his idea to provide such a program for scientists who did not need SAS's complete arsenal of statistical tools. The first author of this book, John Sall is a co-founder of SAS Institute and the creator of JMP - he knows the program. The software manual is abysmal and the menus are a complete confusion, especially if you use (and think) Excel.


The system for data input is a leftover from the thinking of card punch days. But, as powerful as JMP is, it is far from intuitive. I need powerful tools that are quick and easy to use and provide reliable answers to statistical questions. I am definitely part of the target audience for JMP - a scientist who uses statistics frequently in my everyday work but not a statistician who lives in the numbers.
