Engineer S Toolkit Statistics And Probability Essentials
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Engineer's Toolkit: Statistics and Probability Essentials
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-10
Delving into the realm of statistics and probability, this comprehensive guide is tailored specifically for engineering students and practicing professionals seeking a deeper understanding of these essential disciplines. With a strong emphasis on real-world applications, this book provides a practical and hands-on approach to mastering the concepts and techniques that are vital for success in engineering. Through a captivating narrative and engaging examples, the book introduces readers to the fundamentals of descriptive statistics, probability theory, and statistical inference. It then delves into advanced topics such as experimental design, statistical quality control, risk and decision analysis, and statistical computing, providing a well-rounded understanding of the subject matter. Key features of this book include: * A focus on real-world applications with numerous examples and exercises to illustrate how statistics and probability are used to solve engineering problems. * Coverage of a wide range of topics, from basic concepts to advanced techniques, to provide a comprehensive understanding of statistics and probability. * Clear and concise explanations with step-by-step instructions to facilitate learning and retention. * Ample opportunities for practice with a variety of problems and exercises to reinforce understanding and develop problem-solving skills. This comprehensive guide is an invaluable resource for engineering students seeking a deeper understanding of statistics and probability, as well as practicing engineers looking to enhance their skills. With its focus on real-world applications and engaging examples, this book provides the knowledge and tools necessary to confidently tackle engineering challenges and make informed decisions. If you like this book, write a review!
Fundamentals of Probability and Statistics for Engineers
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
Statistics and Probability with Applications for Engineers and Scientists
Author: Bhisham C. Gupta
language: en
Publisher: John Wiley & Sons
Release Date: 2013-04-17
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.