Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers

This book is designed to develop foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It focuses on developing students' conceptual understanding of statistical theory with the goal of effective design and conduct of experiments. It utilizes real data from engineering projects, simulations, and laboratory experiences and emphasizes the importance of data modeling, experimental design, and hypothesis testing.

Format: Hardback
Length: 558 pages
Publication date: 03 December 2021
Publisher: Taylor & Francis Ltd

This comprehensive textbook delves into the fundamental principles of probability and statistics, with a primary focus on their applications in mechanical and aerospace engineering. It equips students with the essential mindset and skills required to analyze and interpret complex problems, operationalize them, collect and interpret data, and make informed decisions that can enhance the quality of engineered products and systems.

The authors have designed this textbook utilizing the latest research in statistics learning and engaging teaching practices. Their primary objective is to develop students' conceptual understanding of statistical theory, enabling them to design and conduct experiments effectively. Engineering statistics, as a discipline, primarily involves data modeling, emphasizing the representation of variation in observations, characterization of their distribution, and inference-making for quality assurance and control. Key skills developed include fitting multivariate models, experimental design, and hypothesis testing.

Throughout the textbook, real-world data from engineering projects, simulations, and laboratory experiences are used to illustrate and reinforce the concepts. This approach ensures that students gain a practical understanding of statistical principles and their applications in the field. The text is organized into clear and concise chapters, accompanied by detailed lecture notes, data sets, and simulations. The consistency of these instructional resources enables instructors to deliver a coherent and effective teaching experience, while providing students with a cohesive set of learning experiences.

MatLab is used as a computational tool throughout the textbook, although other tools can easily be substituted. A comprehensive table of contents provides an overview of the topics covered, making it easy for students to navigate and reference the material.

In summary, this textbook is an invaluable resource for students pursuing careers in mechanical and aerospace engineering, as well as other fields where statistical analysis and data interpretation are crucial. It equips students with the knowledge and skills necessary to analyze and solve complex engineering problems, making them well-prepared for the challenges they will face in their professional careers.

Weight: 1002g
Dimension: 162 x 240 x 39 (mm)
ISBN-13: 9780367555962