ABSTRACT

Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical applications for engineers, and as well for scientists and those in business. It remains a what-I-wish-I-had-known-when-starting-my-career compilation of techniques.

Contrasting a mathematical and abstract orientation of many statistics texts, which expresses the science/math values of researchers, this book has its focus on the application to concrete examples and the interpretation of outcomes. Supporting application propriety, this book also presents the fundamental concepts, provides supporting derivation, and has frequent do and not-do notes.

Key Features:

  • Contains details of the computation for the examples.
  • Includes new examples and exercises.
  • Includes expanded topics supporting data analysis.

The book is for upper-level undergraduate or graduate students in engineering, the hard sciences, or business programs. The intent is that the text would continue to be useful in professional life, and appropriate as a self-learning tool after graduation – whether in graduate school or in professional practice.

Errata can be found here

part Section 1|204 pages

Fundamentals of Probability and Statistics

chapter 1|5 pages

Introduction

chapter 2|16 pages

Probability

chapter 3|50 pages

Distributions

chapter 4|16 pages

Descriptive Statistics

chapter 5|16 pages

Data and Parameter Interval Estimation

chapter 7|14 pages

Nonparametric Hypothesis Tests

chapter 9|16 pages

Stochastic Simulation

part Section 2|18 pages

Choices

chapter 10|16 pages

Choices

part Section 3|214 pages

Applications of Probability and Statistical Fundamentals

chapter 11|12 pages

Risk

chapter 12|26 pages

Analysis of Variance

chapter 13|12 pages

Correlation

chapter 15|30 pages

Linear Regression – Steady-State Models

chapter 16|4 pages

Nonlinear Regression – An Introduction

chapter 17|22 pages

Experimental Replicate Planning and Testing

chapter 19|20 pages

Data-Based Model Validation

chapter 21|16 pages

Statistical Process Control

chapter 22|26 pages

Reliability

part Section 4|10 pages

Case Studies