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The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. - Provides the statistical design and analysis of engineering experiments & problems- Presents a student-friendly approach through providing statistical models for advanced learning techniques- Covers essential and useful statistical methods used by engineers and scientists The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs.

- Provides the statistical design and analysis of engineering experiments & problems

- Presents a student-friendly approach through providing statistical models for advanced learning techniques

- Covers essential and useful statistical methods used by engineers and scientists "This book was designed for a one-semester course to introduce engineering/science students to some useful statistical methods." "The main emphasis of introductory Statistics for Engineering Experimentation is on the design and analysis of engineering experiments, with only as much theory as necessary to implement these techniques. The material is set up so that the reader is introduced to the design aspects of experimentation early enough to design experiments and collect data for relevant projects. Calculus is used only when obtaining probabilities, expected values, and variances from some simple density functions."--Jacket A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering Most scientific disciplines are concerned with measuring items and collecting data.