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Audience - Pg. vi

Preface · Audience vi Audience JMP Essentials was written for the new or occasional user of JMP. We have focused on the most commonly used features and we have provided the needed instruction to generate results quickly. Each key step in this process is illustrated with screen shots to help you see the result and develop your confidence using JMP. We don't assume any formal background in statistics. Instead we emphasize the intuition of concepts over statistical theory. If you require deeper statistical understanding, we recommend some excellent textbooks in the Bibliography. Most new JMP users have one of the following distinct needs: 1. They have a good idea of what graph they need and simply want to create it (see Chapter 3). 2. They really don't know what the data will say and need help exploring or summarizing it (see Chapter 4). 3. They need to make sense of, or answer some specific questions about, the data they have (see Chapters 5 and 6). We also believe that the complete book is well suited as a reference guide to the following groups of users: Hinrichs, Curt, and Boiler, Chuck . JMP® Essentials: An Illustrated Step-by-Step Guide for New Users. Copyright © 2010, SAS Institute Inc., Cary, North Carolina, USA. ALL RIGHTS RESERVED. For additional SAS resources, visit · Spreadsheet users who are looking for a convenient way to produce nice visualizations of their data or to supplement a spreadsheet's statistical capabilities. JMP reads and writes data from a variety of programs including Microsoft Excel. This book provides a quick and easy way to make your spreadsheet data come alive and allows you to fully and interactively explore that data. · Students enrolled in introductory statistics courses who need JMP instruction. JMP is the ideal tool for students because its navigation reinforces the basic assumptions taught in an introductory course. This book provides an overview of the JMP tools needed in most first-year courses. · SAS users who want to take advantage of JMP's data visualization tools. JMP integrates beautifully with SAS, and we've provided Appendix A to illustrate some of these features.