Principles of statistics for engineers and scientists / William Navidi.

Table of Contents. - Ch. 1 Sampling and descriptive statistics. - Ch. 2 Probability. - Ch. 3 Propagation of error. - Ch. 4 Commonly used distributions. - Ch. 5 Confidence intervals. - Ch. 6 Hypothesis testing. - Ch. 7 Correlation and simple linear regression. - Ch. 8 Multiple regression. - Ch. 9 Factorial experiments. - Ch. 10 Statistical quality control.

"This book is based on the author's more comprehensive text Statistics for Engineers and Scientists, 2nd edition (McGraw-Hill, 2008), which is used for both one- and twosemester courses. The key concepts from that book form the basis for this text, which is designed for a one-semester course. The emphasis is on statistical methods and how they can be applied to problems in science and engineering, rather than on theory. While the fundamental principles of statistics are common to all disciplines, students in science and engineering learn best from examples that present important ideas in realistic settings. Accordingly, the book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. As the text emphasizes applications rather than theory, the mathematical level is appropriately modest. Most of the book will be mathematically accessible to those whose background includes one semester of calculus"-- Provided by publisher.

Ages 18+ McGraw-Hill Education

Grades 10-12 McGraw-Hill Education

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