Book description
Based on realworld applications, Analyzing and Interpreting Continuous Data Using JMP: A StepbyStep 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 userfriendly way, and then draw conclusions and make recommendations. This stepbystep 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. StepbyStep 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 TwoSample Significance Test
 5.4. StepbyStep 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 Oneway 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. StepbyStep 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 StepbyStep Guide
 Author(s):
 Release date: August 2009
 Publisher(s): SAS Institute
 ISBN: 9781599944883
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