Probability and Statistics for Engineering and the Sciences with Modeling using R

Probability and statistics courses are increasingly popular, and this book offers a flexible framework for instructors to build undergraduate courses. It focuses on engineering examples and applications, including social sciences and real data, and uses R with real data sets for hands-on learning. The authors hope to share projects and labs with other instructors and students to make the course more engaging.

Format: Hardback
Length: 410 pages
Publication date: 29 December 2022
Publisher: Taylor & Francis Ltd

Probability and statistics courses have gained immense popularity in recent years, transcending the boundaries of majors and professions. Whether you're pursuing a degree in engineering, finance, or any other field, chances are you'll encounter concepts from probability and statistics on a regular basis.

The primary objective of this book is to provide instructors with the flexibility to construct undergraduate courses based on its content. Whether it's a one-semester course in introductory probability and statistics or a one-semester course in calculus-based probability and statistics, this book caters to various teaching needs.

The book emphasizes engineering examples and applications, while also incorporating social sciences and additional examples to cater to a diverse range of students. The chapters can be tailored to suit students at different levels and backgrounds, making it an inclusive resource.

Throughout their years of teaching this course, the authors have developed a wealth of problems based on real data, student projects, and hands-on labs. These problems have been suggested by students as valuable additions to their learning experience, fostering a deeper understanding and application of the key concepts.

Recognizing the importance of technology in today's world, this book utilizes the powerful R programming language. It employs real data sets, making it an excellent platform for hands-on learning and analysis. The labs provided in the book can be utilized for group work, in-class activities, or self-directed study, encouraging students to apply the key concepts and utilize technology to analyze and present results.

By offering a comprehensive and flexible approach, this book aims to enhance the teaching and learning of probability and statistics, preparing students for a wide range of career opportunities where statistical analysis and decision-making skills are crucial.

Weight: 926g
Dimension: 186 x 261 x 30 (mm)
ISBN-13: 9781032330471