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Название: Engineering Statistics: An Introduction
Автор: Edward B. Magrab
Издательство: Springer
Год: 2022
Страниц: 176
Язык: английский
Формат: pdf
Размер: 10.04 MB
This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh one’s knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed. The book recognizes that there are many computational tools available to perform the statistical analysis of data, and, therefore, the numerical details in the more computationally intensive examples are omitted. However, to facilitate all numerical calculations used in the book and to permit one to further explore the material, a set of interactive graphics (IGs) has been created using Mathematica.
Автор: Edward B. Magrab
Издательство: Springer
Год: 2022
Страниц: 176
Язык: английский
Формат: pdf
Размер: 10.04 MB
This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh one’s knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed. The book recognizes that there are many computational tools available to perform the statistical analysis of data, and, therefore, the numerical details in the more computationally intensive examples are omitted. However, to facilitate all numerical calculations used in the book and to permit one to further explore the material, a set of interactive graphics (IGs) has been created using Mathematica.