Students can handle an unlimited number of data points, so there is no artificial limit placed on the size of problems that can be solved. JMP IN also includes the new JMP Scripting Language that allows simulations and automated analyses. J MP Start Statistics is written by John Sall, the principle developer of JMP, Ann Lehman, and Lee Creighton. Each topic is supported with hands-on examples of varying levels of complexity. JMP s interactive statistical platforms help clarify and simplify what are often perceived as difficult and tangled-up statistical concepts.
Chapters conclude with a set of lab or homework exercises.
Graphics that accompany each analysis make it easier to understand results. Interactivity leads to further analysis, refines results, and can result in further discovery. The JMP Start Statistics book begins with the basics one variable, one sample to look at univariate distributions. Topics progress through simple regression, t tests, analysis of variance, analysis of categorical variables, multiple regression, correlations, multivariate relationships, and fitting general linear models. Also, specialty chapters discuss statistical quality control, design of experiments and elementary time series analysis.