Elementary Statistics Using JMP - Softcover

Schlotzhauer, Sandra D.

Softcover

ISBN 10: 1599943751 ISBN 13: 9781599943756

Publisher: SAS Institute, 2007

Synopsis

Learn how to perform basic statistical analyses using the powerful JMP software. Elementary Statistics Using JMP bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results. Statistical methods include: *histograms, box plots, descriptive statistics, stem-and-leaf plots *mosaic plots, bar charts, and treemaps *t-tests and Wilcoxon tests to compare two independent or paired groups *one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques *Pearson and Spearman correlation coefficients *regression models for lines, curves, and multiple variables *residuals plots and lack-of-fit tests for regression *Chi-square tests, Fisher's Exact test, and measures of association for contingency tables. Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.

About this title

Review

Sandra Schlotzhauer s Elementary Statistics Using JMP provides a guide for doing what the title promises, getting basic statistical analyses from JMP. The book begins with descriptions of getting data into JMP, progresses through graphical and data summary methods, and moves into topics of statistical inference. Later chapters show analysis of variance and regression analysis. She clearly describes how to use the multitude of tools available in JMP in a way that takes the guesswork out of the software. The book is consistent in showing the right amount of material to get readers out of the woods, but not overwhelm them with details. Her long experience with using JMP in the real world is reflected by the presentation of the techniques that every data analyst needs. Elementary Statistics Using JMP will be useful for practical statistical analysis and also as a companion to statistical text books for college and university courses. --Ramon C. Littell, Ph.D., Professor of Statistics

This book is a great overview of the use of JMP software to perform elementary statistical methods. It is packed with examples and takes the reader through the step-by-step menu clicks necessary to execute each analysis task. This book would be an excellent companion to the main text in an elementary statistics course in which JMP software was available to the students. It would also be of use to a wide range of researchers and scientists, both in academia and industry, who need to perform elementary statistical analyses on their data. One of the greatest strengths of the approach used in this book is that the reader gets an explanation of each statistical method, along with a contrast of the method with other similar statistical methods. This presentation strategy prevents the JMP user from applying statistical analysis techniques incorrectly. I would highly recommend this book to JMP users, and to those interested in learning JMP to analyze data. The book s contents are widely applicable to data in a number of research fields. --Dennis W. King, Ph.D., Senior Statistician, STATKING Consulting, Inc.

This book is a great tool for learning both statistics and JMP simultaneously. It could have also been titled Elementary JMP Using Statistics. This book is ideal for those wanting to learn the power of JMP, along with learning the power of statistical data analyses. This book, used in conjunction with the powerful graphical features of JMP, will provide the reader the knowledge necessary to move to data-based decision making. It is a must for those who have data they d like to analyze but don t know where to start. --Don Lifke, Certified Black Belt, Corporate Lean Six Sigma Office, Sandia National Laboratories

This book is a great overview of the use of JMP software to perform elementary statistical methods. It is packed with examples and takes the reader through the step-by-step menu clicks necessary to execute each analysis task. This book would be an excellent companion to the main text in an elementary statistics course in which JMP software was available to the students. It would also be of use to a wide range of researchers and scientists, both in academia and industry, who need to perform elementary statistical analyses on their data. One of the greatest strengths of the approach used in this book is that the reader gets an explanation of each statistical method, along with a contrast of the method with other similar statistical methods. This presentation strategy prevents the JMP user from applying statistical analysis techniques incorrectly. I would highly recommend this book to JMP users, and to those interested in learning JMP to analyze data. The book s contents are widely applicable to data in a number of research fields. --Dennis W. King, Ph.D., Senior Statistician, STATKING Consulting, Inc.

This book is a great tool for learning both statistics and JMP simultaneously. It could have also been titled Elementary JMP Using Statistics. This book is ideal for those wanting to learn the power of JMP, along with learning the power of statistical data analyses. This book, used in conjunction with the powerful graphical features of JMP, will provide the reader the knowledge necessary to move to data-based decision making. It is a must for those who have data they d like to analyze but don t know where to start. --Don Lifke, Certified Black Belt, Corporate Lean Six Sigma Office, Sandia National Laboratories

Edition details

• Publisher: SAS Institute
• Publication date: 2007
• Language: English
• ISBN 10: 1599943751
• ISBN 13: 9781599943756
• Binding: Paperback
• Number of pages: 472