Overview
Main description
Clueless? Feel Like a Dummy? Get Demystified!
This versatile reference offers solid coverage of the basics of
traditional engineering statistics and also incorporates examples
from the most popular statistical software programs,
making it equally valuable to professionals.
Table of contents
PrefaceAcknowledgmentsChapter 1: Treatment of Data Using EXCEL, MINITAB, SAS, SPSS, and STATISTIXChapter 2: ProbabilityChapter 3: Probability Distributions for Discrete Random VariablesChapter 4: Probability Densities for Continuous Random Variables and Introduction to MAPLEChapter 5: Sampling DistributionsChapter 6: Inferences Concerning MeansChapter 7: Inferences Concerning VariancesChapter 8: Inferences Concerning ProportionsFINAL EXAMINATIONSSOLUTIONS TO CHAPTER EXERCISESBIBLIOGRAPHYINDEX
Author comments
Larry Stephens is a professor of mathematics
at the University of Nebraska and has also worked for NASA. He
is the author of McGraw-Hill's Advanced Statistics Demystified and
Schaum's Outline of Beginning Statistics.
Back cover copy
It's safe to infer that YOU'LL MASTER ENGINEERING STATISTICS
Learn how to implement statistics in engineering applications -- even if you don't have formal training, unlimited time, or a genius IQ. Engineering Statistics Demystified offers an effective, enlightening, and entertaining way to learn this complex subject.
Written by statistics professor Larry J. Stephens, this book introduces you to several statistical software programs and encourages you to use these programs along with the book. You'll study probability distributions for discrete and continuous random variables as well as sampling distributions, and make statistical inferences concerning means, variances, and proportions. Packed with examples from the featured statistical programs and including end-of-chapter exercises and two final exams, this book will teach you the fundamentals of engineering statistics in no time at all.
This hands-on, self-teaching guide offers:
- An easy way to understand engineering statistics
- Explanations on how to use several statistical software programs, including EXCEL, MINITAB, SAS, SPSS, STATISTIX, and MAPLE
- Real-world examples
- Exercises at the end of each chapter to reinforce learning and pinpoint weaknesses
- Two final exams at the end of the book, along with their solutions
- A time-saving approach to performing better on an exam or at work
Simple enough for a beginner, but challenging enough for an advanced student, Engineering Statistics Demystified is your shortcut to mastering this challenging topic.
