Probability and Statistics for Engineering and the Sciences, Ninth Edition, Metric Version

A Statistical Foundation for Engineering and Science

Jay L. Devore’s Probability and Statistics for Engineering and the Sciences has long served as a rigorous but readable introduction to the statistical methods used across technical fields. This Ninth Edition, Metric Version, published by Cengage Learning, keeps the focus on reasoning with data: how probability models are built, how uncertainty is quantified, and how inferences are drawn from samples.

The Metric Version, prepared by Shaligram Tiwari, presents the same core instruction in a form suited to metric-unit contexts. For readers working through engineering, laboratory, or applied-science problems, that alignment matters.

What the Ninth Edition Covers

The contents move in a deliberate progression from descriptive tools to formal inference. Major topics include:

• Populations, samples, and descriptive statistics
• Probability axioms, counting, conditional probability, and independence
• Discrete random variables, including binomial, hypergeometric, negative binomial, and Poisson distributions
• Continuous random variables, normal, exponential, gamma, and other distributions
• Joint probability distributions, covariance, correlation, and sampling distributions
• Point estimation and methods of estimation
• Confidence intervals based on one sample
• Hypothesis tests for means and proportions
• Inferences based on two samples, including paired data and variance comparisons
• Analysis of variance (ANOVA)

How the Material Is Presented

Devore’s approach is known for careful definitions and an emphasis on when a method applies. The book connects probability to inference so that formulas do not appear as isolated recipes. Each chapter includes supplementary exercises and bibliographic notes, giving readers practice and context for the methods under discussion.

The Ninth Edition reflects the established structure of the text while updating the package for contemporary courses. The Metric Version maintains the same instructional sequence as the standard edition, with metric units integrated where relevant.

Who This Edition Serves

This textbook is aimed at students and instructors in engineering, statistics, mathematics, and the sciences who need a working command of probability and statistical inference. It also serves professionals who want a structured reference for reviewing confidence intervals, hypothesis testing, or ANOVA.

Digital Access to a Standard Course Text

This digital edition provides the full content of the Ninth Edition, Metric Version, in an electronic format. It is a practical choice for readers who prefer searchable, portable access to a text they will return to across a semester or a career. If you are building a technical library or preparing for coursework in engineering statistics, this edition offers the depth and organization that have made Devore’s text a standard reference.