Basic Engineering Data Collection and Analysis

• Preface
• 1 Introduction
• 2 Data Collection
• 3 Elementary Descriptive Statistics
• 4 Describing Relationships Between Variables
• 5 Probability: The Mathematics of Randomness
• 6 Introduction to Formal Statistical Inference
• 7 Inference for Unstructured Multisample Studies
• 8 Inference for Full and Fractional Factorial Studies
• 9 Regression Analysis—Inference for Curve- and Surface-Fitting
• Appendix A: More on Probability and Model Fitting
• Appendix B: Tables
• Answers to Section Exercises
• Index
• Additional Materials: Data Sets
• Additional Materials: Formula Sheets

In Basic Engineering Data Collection and Analysis, Stephen B. Vardeman and J. Marcus Jobe stress the practical over the theoretical. Step by step, students get real engineering data and scenario examples along with chapter-long case studies that illustrate concepts in realistic, thoroughly detailed situations. This approach encourages students to work through the material by carrying out data collection and analysis projects from problem formulation through the preparation of professional technical reports—just as if they were on the job.