Engineering statistics / Douglas C. Montgomery, George C. Runger, Norma Faris Hubele.

CONTENT

Chapter 1 The role of statistics in Engineering
The engineering method and statistical thinking
Collecting engineering data
Mechanistic and empirical models
Observing processes over time

Chapter 2 Data summary and presentation
Data summary and display
Stem and leaf diagram
Histogram
Box plot
Time series
Multivariate data

Chapter 3 Random variables and probability distributions
Introduction
Random variables
Probability
Important continuous
Probability plots
Discrete random variable
Cumulative distribution
etc.

Chapter 4 Decision making for a single sample
Statistical inference
Point estimation
Hypotheses
Inference on the mean of population variance known
Inference on the mean of population variance unknown
etc.

Chapter 5 Decision making for two samples
Introduction
Inference on the means of two populations, variances known
Inference on the means of two population variances unknown
The paired t-test
Inference on two population proportions
Summary tables for inference procedure for two samples
What if we have more than two samples?

Chapter 6 Building empirical models
Introduction to empirical models
Simple linear regression
Multiple regression
Other aspects of regression

Chapter 7 Design of engineering experiments
The strategy of experimentation
Factorial experiments
Fractional replication of a 2k design
Response surface methods and design
Factorial experiments with more than two levels

Chapter 8 Statistical process control
Quality improvement and statistics
Statistical process control
Introduction to control charts
X and R control charts
Control charts for individual measurements
etc.

Includes index.