Book description
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition, is the perfect mix of software manual and statistics text. Authors John Sall, Ann Lehman, Mia Stephens, and Lee Creighton provide hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.
JMP Start Statistics, Fifth Edition, includes many new features of JMP 10, including an enhanced ability to manage a JMP session by easily tracking open and recently opened JMP tables; scripts, analyses, JMP projects, and other files; vastly expanded tools for instructors to demonstrate statistical concepts and interactive scripts to help students grasp difficult topics; Split-Plot designs with examples; examples of Graph Builder and Control Chart Builder; and new features that make the software easier to use.
This book is part of the SAS Press program.
Table of contents
- Copyright
- Contents
- Using This Book
- Authors
- Acknowledgments
- 1 Basic Concepts in Research and Data Analysis
- 2 Getting Started with JMP
- 3 Working with JMP Data
- 4 Exploring Data with the Distribution Platform
- 5 Measures of Bivariate Association
- 6 Assessing Scale Reliability with Coefficient Alpha
- 7 t-Tests: Independent Samples and Paired Samples
- 8 One-Way ANOVA with One Between-Subjects Factor
- 9 Factorial ANOVA with Tw- Between-Subjects Factors
- 10 Multivariate Analysis of Variance (MANOVA) with One Between-Subjects Factor
- 11 One-Way ANOVA with One Repeated-Measures Factor
- 12 Factorial ANOVA with Repeated-Measures Factors and Between-Subjects Factors
- 13 Multiple Regression
- 14 Principal Component Analysis
- Appendix
- Index
- Accelerate Your SAS Knowledge with SAS Books
Product information
- Title: JMP for Basic Univariate and Multivariate Statistics, 2nd Edition
- Author(s):
- Release date: April 2013
- Publisher(s): SAS Institute
- ISBN: 9781612906256
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