"We chose JMP as supporting software because it is powerful yet easy to use, and suitable for a wide range of statistically oriented courses (including descriptive statistics, hypothesis testing, regression, analysis of variance, design of experiments, reliability, multivariate methods, and statistical and predictive modeling). We believe that introductory courses in statistics and probability should use such software so that the enthusiasm of students is not nipped in the bud. Indeed, we find that, because of the way students can easily interact with JMP, it can actually spark enthusiasm for statistics and probability in class.”
From the preface of Statistics with JMP: Graphs,
Descriptive Statistics and Probability by Peter Goos and David Meintrup
For Consumer/Market Research
“JMP is the number one tool in my market research toolkit that I use for analyzing consumer survey data, especially choice data. The Choice Platform makes it very easy to do all three key stages of a choice study: design, estimation, and analysis. It uses cutting-edge Bayesian techniques for the design stage, sophisticated methods for the estimation stage, and high-powered graphics for the analysis stage. The Choice and Willingness-to-Pay profilers are exceptionally good for digging into choice results to understand consumer behavior. I use JMP extensively in my data analysis consulting so I have no doubts about its capabilities. I highly recommend its use for market research studies.”
-Walter R. Paczkowski, Ph.D., Data Analytics Corp. and Rutgers University
For Quality/Reliability/Six Sigma
“We are treated to an array of new features with each new version of JMP. In my preview of JMP 12, I am particularly impressed by the new destructive degradation platform. With the slick interface, analysis of destructive degradation data will be remarkably simple, allowing useful inferences on both degradation metrics and failure-time metrics. As usual, the JMP developers have made effective use of the ubiquitous and powerful JMP profiler.”
-Bill Meeker, Professor of Statistics and Distinguished Professor, Iowa State University
For the new MCA Platform
“Teaching Statistics with JMP is like playing music with a Stradivarius. So, it was a pity to switch to another software when we wanted to teach multiple correspondence analysis. With the new MCA platform, no need to change, and it’s a pleasure to play this new JMP with a bit of a French touch!”
-Yves Gueniffey, Assistant Professor, Director of Statistics' Teachings, The Ecole des Mines de Nancy, France
For Generalized Regression and Data Prep
“JMP continues to amaze me. There are always new modeling techniques and tools to make my life as a data analyst easier and JMP 12 is certainly no exception! Among the new features are a couple of standouts. The Generalized Regression platform that debuted in JMP 11 is now easier to use and much faster. And everyone knows that most of the time on a data project is spent cleaning and preparing the data. The new ability to create test/validation variables on the fly is great — and how many times have you wanted an easier way to group categories that are “nearly the same”? Now with the Smart recode tool you can do it automatically! Check it out!”
-Richard D. De Veaux, C. Carlisle and Margaret Tippit Professor of Statistics, Williams College
