With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

No credit card required

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.

2. Dedication
3. Foreword
4. Acknowledgments
5. 1. Using This Book
1. 1.1. Origins of This Book
2. 1.2. Purpose
3. 1.3. Audience
4. 1.4. Prerequisites
6. 1.6. Chapter Contents
7. 1.7. Chapter Layout
8. 1.8. Step-by-Step Analysis Instructions
9. 1.9. JMP Software
1. 1.9.1. JMP Help and Resources
10. 1.10. Scope
11. 1.11. Typographical Conventions
12. 1.12. References
6. 2. Overview of Statistical Concepts and Ideas
1. Chapter Goals
2. 2.1. Why Statistics?
3. 2.2. Measurement Scales, Modeling Types, and Roles
4. 2.3. Statistical Inference: From a Sample to a Population
5. 2.4. Descriptive Statistics and Graphical Displays
6. 2.5. Quantifying Uncertainty: Common Probability Distributions
1. 2.5.1. Normal Distribution
2. Standard Normal Distribution μ = 0 and σ = 1
7. 2.6. Useful Statistical Intervals
8. 2.7. Overview of Tests of Significance
9. 2.8. Summary
10. 2.9. References
7. 3. Characterizing the Measured Performance of a Material, Process, or Product
1. Chapter Goals
2. 3.1. Problem Description
3. 3.2. Key Questions, Concepts, and Tools
4. 3.3. Overview of Exploratory Data Analysis
1. 3.3.1. Description and Some Applications
2. 3.3.2. Descriptive Statistics
3. 3.3.3. Graphs and Visualization Tools
4. 3.3.4. Statistical Intervals
5. 3.4. Step-by-Step JMP Analysis Instructions
6. 3.5. Summary
7. 3.6. References
8. 4. Comparing the Measured Performance of a Material, Process, or Product to a Standard
1. Chapter Goals
2. 4.1. Problem Description
3. 4.2. Key Questions, Concepts, and Tools
4. 4.3. Overview of One-Sample Tests of Significance
5. 4.4. Step-by-Step JMP Analysis Instructions
6. 4.5. Testing Equivalence to a Standard
7. 4.6. Summary
8. 4.7. References
9. 5. Comparing the Measured Performance of Two Materials, Processes, or Products
1. Chapter Goals
2. 5.1. Problem Description
3. 5.2. Key Questions, Concepts, and Tools
4. 5.3. Overview of Two-Sample Significance Test
5. 5.4. Step-by-Step JMP Analysis Instructions
6. 5.5. Testing Equivalence of Two Materials, Processes, or Products
7. 5.6. Summary
8. 5.7. References
10. 6. Comparing the Measured Performance of Several Materials Processes, or Products
1. Chapter Goals
2. 6.1. Problem Description
3. 6.2. Key Questions, Concepts, and Tools
4. 6.3. Overview of One-way ANOVA
5. 6.4. Step-by-Step JMP Analysis Instructions
6. 6.5. Testing Equivalence of Three or More Populations
7. 6.6. Summary
8. 6.7. References
11. 7. Characterizing Linear Relationships between Two Variables
1. Chapter Goals
2. 7.1. Problem Description
3. 7.2. Key Questions, Concepts, and Tools
4. 7.3. Overview of Simple Linear Regression
5. 7.4. Step-by-Step JMP Analysis Instructions
6. 7.5. Einstein's Data: The Rest of the Story
7. 7.6. Summary
8. 7.7. References