Statistical Methods For Engineers

by Vining,G. Geoffrey

• ISBN13: 9780538735186
• ISBN10: 053873518X
• Edition: 3rd
• Format: Hardcover
• Copyright: 2010-01-01
• Publisher: Cengage Learning

Summary

STATISTICAL METHODS FOR ENGINEERS offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, users see how statistics fits within the methods of engineering problem solving. The book teaches users how to think like an engineer at analyzing real data and planning a project the same way they will in their careers.

Table of Contents

Engineering Method and Data Collection

Need for Statistical Methods in Engineering

Engineering Method and Statistical Thinking

Statistical Thinking and Structured Problem Solving

Models

Obtaining Data

Sampling

Basic Principles of Experimental Design

Examples of Engineering Experiments

Purpose of Engineering Statistics

Case Study: Manufacture of Writing Instruments

Ideas for Projects References

Data Displays

Importance of Data Displays

Stem-and-Leaf Displays

Boxplots

Using Computer Software

Using Boxplots to Analyze Designed Experiments

Case Study

Need for Probability and Distributions

Ideas for Projects References

Modeling Random Behavior

Probability

Random Variables and Distributions

Discrete Random Variables

Continuous Random Variables

The Normal Distribution

Random Behavior of Means

Random Behavior of Means When the Variance Is Unknown

Normal Approximation to the Binomial

The Weibull Distribution for Reliability Applications

Case Study References

Estimation and Testing

Estimation

Hypothesis Testing

Inference for a Single Mean

Inference for a Single Proportion

Inference for Two Independent Samples

The Paired t-Test Inference for Two Proportions

Inference for Variances

Transformations and Nonparametric Analyses

Case Study

Ideas for Projects References

Control Charts and Statistical Process Control

Overview

Specification Limits

X- and R-Charts

X- and s?-Charts

X-Chart. np-Chart. c-Chart

Average Run Lengths

Standard Control Charts with Runs Rules

CUSUM and EWMA Charts

Basic Process Capability Indices

The SPC Approach to Gage R Studies

Case Study

Ideas for Projects References

Linear Regression Analysis

Relationships Among Data

Simple Linear Regression

Multiple Linear Regression

Residual Analysis

Collinearity Diagnostics

Case Study

Ideas for Projects References

Introduction to 2k Factorial-Based Experiments

The 2? Factorial Design

The 2k Factorial Design

Fractions of the 2k Factorial Design

Case Study

Ideas for Projects References

Introduction to Response Surface Methodology

Sequential Philosophy of Experimentation

Central Composite Designs

Box-Behnken Designs

Multiple Responses

Experimental Designs for Quality Improvement

Case Study

Ideas for Projects References

CODA

The Themes of This Course

Integrating the Themes

Statistics and Engineering

Appendix

Tables

Table of Contents provided by Publisher. All Rights Reserved.