Applied Statistics and Probability for Engineers, 7th Edition

Book Cover

Applied Statistics and Probability for Engineers, 7th Edition

By Douglas Montgomery and George C. Runger

SINGLE-TERM
$69  USD | $89  CAN
MULTI-TERM
$119  USD | $139  CAN

Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers through a rich collection of examples and problem sets that reflect realistic applications and situations. This resource can be used as either a one- or two-term course in probability and statistics.

The next generation of WileyPLUS for Applied Statistics and Probability for Engineers gives instructors the freedom and flexibility to tailor content and easily manage their course to keep students engaged and on track.

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Animations enhance the learning experience.

Interactive Animations engage students in active learning.

Tutorial Videos provide explanations of key course concepts.

Over 100 video-based examples and problem walk-throughs are included in this course.

    What’s New

  • Instructor Assignable Problems: Several hundred assignable problems that do not appear in student materials to preserve their integrity are included.
  • Practice Problems: Hundreds of Check Your Understanding practice problems have been added and are placed at appropriate places in the eTextbook.
  • Videos: This course now features over 100 videos, many of which are walk-throughs of examples and problems.

Douglas Montgomery is Regents Professor of Industrial Engineering & Statistics at Arizona State University. His research interests are in industrial statistics. He is the author of numerous books and technical papers and has been the recipient of many awards. He is a fellow of the American Statistical Association, the American Society for Quality Control, the Royal Statistical Society, the Institute of Industrial Engineers, and an elected member of the International Statistical Institute.

George C. Runger is chair of the department of biomedical informatics (BMI) and professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He was an affiliated faculty member with BMI and the related Center for Health Information & Research for several years. He holds degrees in industrial engineering and statistics and has over 100 publications in research journals with funding from federal and corporate sponsors. He is currently the department editor for healthcare informatics for IIE Transactions on Healthcare Systems Engineering.

  1. The Role of Statistics in Engineering
  2. Probability
  3. Discrete Random Variables and Probability Distributions
  4. Continuous Random Variables and Probability Distributions
  5. Joint Probability Distributions
  6. Descriptive Statistics
  7. Sampling Distributions and Point Estimation of Parameters
  8. Statistical Intervals for a Single Sample
  9. Tests of Hypotheses for a Single Sample
  10. Statistical Inference for Two Samples
  11. Simple Linear Regression and Correlation
  12. Multiple Linear Regression
  13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance
  14. Design of Experiments with Several Factors
  15. Statistical Quality Control
    Appendices