Inside Front cover Index of Applications Examples and Exercises

Chapter 1 The Role of Statistics in Engineering

1-1 The Engineering Method and Statistical Thinking

1-2 Collecting Engineering Data

1-2.1 Basic Principles

1-2.2 Retrospective Study

1-2.3 Observational Study

1-2.4 Designed Experiments

1-2.5 Observing Processes Over Time

1-3 Mechanistic and Empirical Models

1-4 Probability and Probability Models

Chapter 2 Probability

2-1 Sample Spaces and Events

2-1.1 Random Experiments

2-1.2 Sample Spaces

2-1.3 Events

2-1.4 Counting Techniques

2-2 Interpretations and Axioms of Probability

2-3 Addition Rules

2-4 Conditional Probability

2-5 Multiplication and Total Probability Rules

2-6 Independence

2-7 Bayes' Theorem

2-8 Random Variables

Chapter 3 Discrete Random Variables and Probability Distributions

3-1 Discrete Random Variables

3-2 Probability Distributions and Probability Mass Functions

3-3 Cumulative Distribution Functions

3-4 Mean and Variance of a Discrete Random Variable

3-5 Discrete Uniform Distribution

3-6 Binomial Distribution

3-7 Geometric and Negative Binomial Distributions

3-7.1 Geometric Distribution

3-8 Hypergeometric Distribution

3-9 Poisson Distribution

Chapter 4 Continuous Random Variables Probability Distributions

4-1 Continuous Random Variables

4-2 Probability Distributions and Probability Density Functions

4-3 Cumulative Distribution Functions

4-4 Mean and Variance of a Continuous Random Variable

4-5 Continuous Uniform Distribution

4-6 Normal Distribution ...

Get Applied Statistics and Probability for Engineers, 6th Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.