From Book News, Inc.
The third edition of this guide to using JMP statistical software, and its student version, JMP IN, is updated to feature version 5.1 of JMP IN, and contains a rewritten chapter on Time Series, focusing on ARIMA models. There are also more exercises for this edition. The book is a mix of software manual and statistics text, and can be used as a teaching text and as a supplement to a standard statistical text. A few of the techniques covered are not found in most introductory courses but are accessible using JMP IN, such as logistic regression and correspondence analysis. Sall is affiliated with SAS Institute.Copyright © 2004 Book News, Inc., Portland, OR


Book Description
Written by the developers of JMP, JMP START STATISTICS is the official handbook for JMP IN - the powerful statistical discovery software created by SAS Institute. John Sall, Lee Creighton, and Ann Lehman, all of SAS Institute, provide hands-on tutorials with just the right amount of concept and motivation to illustrate how to use JMP to perform insightful data analysis. JMP START STATISTICS strikes the right balance of software instruction with an understanding that students are learning statistics at the same time. JMP IN's intuitive, easy-to-use interface is thoroughly illustrated in JMP START STATISTICS, making it the perfect companion to any introductory statistics course. JMP's advanced capabilities in Regression, Forecasting, Time Series, Design of Experiments, Quality Control, Multivariate Statistics and Data Mining are also illustrated in later chapters. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations of JMP IN and exercises that can be easily assigned to students.


Book Info
Handbook to JMP and JMP IN, the powerful statistical discovery software developed by SAS Institute. Updated to reflect the new capabilities of JMP Version 5. Previous edition: c2000. Softcover.

FROM THE PUBLISHER

Written by the developers of JMP, JMP Start Statistics is the official handbook for JMP In - the powerful statistical discovery software created by SAS Institute. John Sall, Lee Creighton, and Ann Lehman, all of SAS Institute, provide hands-on tutorials with just the right amount of concept and motivation to illustrate how to use JMP to perform insightful data analysis. JMP Start Statistics strikes the right balance of software instruction with an understanding that students are learning statistics at the same time. JMP In's intuitive, easy-to-use interface is thoroughly illustrated in JMP Start Statistics, making it the perfect companion to any introductory statistics course. JMP's advanced capabilities in Regression, Forecasting, Time Series, Design of Experiments, Quality Control, Multivariate Statistics and Data Mining are also illustrated in later chapters. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations of JMP IN and exercises that can be easily assigned to students.

SYNOPSIS