Book description
Based on real-world applications, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, by Jose Ramirez, Ph.D., and Brenda S. Ramirez, M.S., combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. In the many case studies provided, the authors clearly set up the problem, explain how the data were collected, show the analysis using JMP, interpret the output in a user-friendly way, and then draw conclusions and make recommendations. This step-by-step format enables users new to statistics or JMP to learn as they go, but the book will also be helpful to those with some familiarity with statistics and JMP. The book includes a foreword written by Professor Douglas C. Montgomery.
Table of contents
- Copyright
- Dedication
- Foreword
- Acknowledgments
-
1. Using This Book
- 1.1. Origins of This Book
- 1.2. Purpose
- 1.3. Audience
- 1.4. Prerequisites
- 1.5. What's Unique About This Book?
-
1.6. Chapter Contents
- Chapter 2 Overview of Statistical Concepts and Ideas
- Chapter 3 Characterizing the Measured Performance of a Material, Process, or Product
- Chapter 4 Comparing the Measured Performance of a Material, Process, or Product to a Standard
- Chapter 5 Comparing the Measured Performance of Two Materials, Processes, or Products
- Chapter 6 Comparing the Measured Performance of Several Materials, Processes, or Products
- Chapter 7 Characterizing Linear Relationships between Two Variables
- 1.7. Chapter Layout
- 1.8. Step-by-Step Analysis Instructions
- 1.9. JMP Software
- 1.10. Scope
- 1.11. Typographical Conventions
- 1.12. References
-
2. Overview of Statistical Concepts and Ideas
- Chapter Goals
- 2.1. Why Statistics?
- 2.2. Measurement Scales, Modeling Types, and Roles
- 2.3. Statistical Inference: From a Sample to a Population
- 2.4. Descriptive Statistics and Graphical Displays
- 2.5. Quantifying Uncertainty: Common Probability Distributions
- 2.6. Useful Statistical Intervals
- 2.7. Overview of Tests of Significance
- 2.8. Summary
- 2.9. References
- 3. Characterizing the Measured Performance of a Material, Process, or Product
- 4. Comparing the Measured Performance of a Material, Process, or Product to a Standard
-
5. Comparing the Measured Performance of Two Materials, Processes, or Products
- Chapter Goals
- 5.1. Problem Description
- 5.2. Key Questions, Concepts, and Tools
- 5.3. Overview of Two-Sample Significance Test
- 5.4. Step-by-Step JMP Analysis Instructions
- 5.5. Testing Equivalence of Two Materials, Processes, or Products
- 5.6. Summary
- 5.7. References
-
6. Comparing the Measured Performance of Several Materials Processes, or Products
- Chapter Goals
- 6.1. Problem Description
- 6.2. Key Questions, Concepts, and Tools
-
6.3. Overview of One-way ANOVA
- 6.3.1. Description and Some Applications
- 6.3.2. Comparing Average Performance of Several Materials, Processes, or Products
- 6.3.3. Multiple Comparisons to Detect Differences between Pairs of Averages
- 6.3.4. Comparing the Performance Variation of Several Materials, Processes, or Products
- 6.3.5. Sample Size Calculations
- 6.4. Step-by-Step JMP Analysis Instructions
- 6.5. Testing Equivalence of Three or More Populations
- 6.6. Summary
- 6.7. References
- 7. Characterizing Linear Relationships between Two Variables
Product information
- Title: Analyzing and Interpreting Continuous Data Using JMP®: A Step-by-Step Guide
- Author(s):
- Release date: August 2009
- Publisher(s): SAS Institute
- ISBN: 9781599944883
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