Applied Statistics for Engineers and Scientists: Using Microsoft Excel & MiniTab, 1st edition
Published by Pearson (September 8, 2000) © 2001
- David M. Levine Baruch College, City University of New York
- Patricia P. Ramsey
- Robert K. Smidt
- Hardcover, paperback or looseleaf edition
- Affordable rental option for select titles
- Free shipping on looseleafs and traditional textbooks
For courses in Probability and Statistics.
This applied text for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important to students in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software (Microsoft Excel and Minitab) as well as in-depth coverage of quality and experimental design complete this treatment of statistics.
Enables students to employ realistic data and focus on interpreting statistical results not on computations or proofs.
- Appendices on using Microsoft Excel and Minitab.
-
Supplies students with supplementary material within the text that explains how the software is used in the book (employing in-chapter examples) and in the workplace.
-
- Coverage of statistical topics—e.g., descriptive statistics; experimental design; regression; probability modeling; and statistical inference.
-
Teaches students not only how to use statistical tools, but why and how statistical methods are useful in a wide variety of industrial settings—consistent with recommendations of a task force of engineering statistics educators.
-
- Section- and chapter-end problems—Most with multiple parts.
-
Gives students the opportunity to select and solve from among the many problems applied to realistic situations—using real data whenever possible—in various fields of engineering and the sciences.
-
- Detailed case studies.
-
Shows students the connection between learning and doing and allows them to integrate concepts across chapters.
-
- “A Using Statistics” example in each chapter from engineering or the sciences.
-
Illustrates the application of at least one of the statistical methods covered in the chapter.
-
- Numerous exhibit boxes.
-
Highlights important concepts without interrupting the flow of the text.
-
- Many comment boxes.
-
Allows students to focus on the assumptions of statistical methods.
-
- Statistical tables.
-
Serves students with explanations and illustrations.
-
- Conversational writing style—Does not require a high level of mathematical sophistication.
-
Presents students with a great deal of information related to basic principles and important concepts in a way that does not “talk down to” or intimidate them.
-
- Chapter-opening quotes from a philosopher, historical figure, well known statistician, or from literature.
-
Gives students a historical context to frame each chapter.
-
Please Note:
The CD-ROM originally included is no longer available. However, the data files can be downloaded atwww.pearsonhighered.com/levine
1. Introduction to Statistics and Quality Improvement.
2. Tables and Charts.
3. Describing and Summarizing Data.
4. Probability and Discrete Probability Distributions.
5. Continuous Probability Distributions and Sampling Distributions.
6. Process Control Charts I: Basic Concepts and Attribute Charts.
7. Statistical Process Control Charts II: Variables Control Charts.
8. Estimation Procedures.
9. Introduction to Hypothesis Testing.
10. The Design of Experiments: One Factor and Randomized Block Experiments.
11. The Design of Experiments: Factorial Designs.
12. Simple Linear Regression and Correlation.
13. Multiple Regression.
Appendices.
Index.
Need help? Get in touch