Statistical Methods For Engineers
by Vining,G. GeoffreyEdition: 3rd
Format: Hardcover
Pub. Date: 2010-01-01
Publisher(s): Cengage Learning
Other versions by this Author
-
This Item Qualifies for Free Shipping!*
*Excludes marketplace orders.
List Price: $210.00
Buy New
Arriving Soon. Will ship when available.
$200.00
Rent Textbook
Select for Price
Used Textbook
We're Sorry
Sold Out
eTextbook
We're Sorry
Not Available
How Marketplace Works:
- This item is offered by an independent seller and not shipped from our warehouse
- Item details like edition and cover design may differ from our description; see seller's comments before ordering.
- Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
- Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
- Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.
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. |
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.