Miller & Freund's Probability and Statistics for Engineers, Global Edition (9^th Ed.)

For an introductory or one or two semester courses in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students.

An Applications-Focused Introduction to Probability and Statistics

Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasises designed experiments, especially two-level factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarising students with the latest methods, and readying them to become real-world engineers and scientists.

1. Introduction
2. Organization and Description of Data
3. Probability
4. Probability Distributions
5. Probability Densities
6. Sampling Distributions
7. Inferences Concerning a Mean
8. Comparing Two Treatments
9. Inferences Concerning Variances
10. Inferences Concerning Proportions
11. Regression Analysis
12. Analysis of Variance
13. Factorial Experimentation
14. Nonparametric Tests
15. The Statistical Content of Quality Improvement Programs
16. Application to Reliability and Life Testing

• A clear, concise presentation helps students quickly gain an understanding of the concepts.
• NEW! Many new examples on important current engineering and scientific data further strengthen the text’s orientation towards an applications-based introduction to statistics.
• NEW! Added graphs illustrating P-values appear in several examples along with an interpretation.
• NEW! More details about using R commands make it easy for students to check calculations on their own laptop or tablet, while reading an example.
• NEW! Key formulas are stressed and calculation formulas are downplayed. Computation formulas are set in the context of an application which only requires all, or mostly all, integer arithmetic, and now appear only at the end of sections. Students can then check their results with their choice of software.
• NEW! All examples are now numbered within each chapter.
• Rich problem sets give students the practice they need to learn the material.
• Do's and Don'ts at the end of each chapter help students to apply statistics correctly to avoid misuses.
• NEW! New data-based exercises feature real applications to help stimulate interest and strengthen a student’s appreciation of the role of statistics in engineering applications.
• Computer exercises for MINITAB^® help students learn and become familiar with this software.
• Many data sets are drawn from author Richard Johnson's own consulting activities as well as discussions with scientists and engineers about their statistical problems. This helps illustrate the statistical methods and reasoning required in order to draw generalizations from data collected in actual experiments.
• Content highlights:
  • Case studies