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

Probability and statistics courses are more popular than ever. Regardless of your major or you profession, you will most likely use concepts from probability and statistics often in your careers.

The primary goal behind this book is offering the flexibility for instructors to build most undergraduate courses upon it. This book is designed for either a one-semester course in either introductory probability and statistics (not calculus-based) and/or a one-semester course in a calculus-based probability and statistics course.

The book focuses on engineering examples and applications, while also including social sciences and more examples. Depending on the chapter flows, a course can be tailored for students at all levels and background.

Over many years of teaching this course, the authors created problems based on real data, student projects, and labs. Students have suggested these enhance their experience and learning. The authors hope to share projects and labs with other instructors and students to make the course more interesting for both.

R is an excellent platform to use. This book uses R with real data sets. The labs can be used for group work, in class, or for self-directed study. These project labs have been class-tested for many years with good results and encourage students to apply the key concepts and use of technology to analyze and present results.

機率和統計課程比以往更受歡迎。無論你的專業或職業是什麼，你在職業生涯中很可能經常使用機率和統計的概念。

本書的主要目標是為教師提供靈活性，以便在大多數本科課程中使用。本書旨在為一學期的概率和統計入門課程（非以微積分為基礎）和/或一學期的以微積分為基礎的概率和統計課程提供教材。

本書重點介紹工程學的例子和應用，同時也包括社會科學和其他例子。根據章節的流程，課程可以根據學生的不同水平和背景進行調整。

多年來，作者們根據真實數據、學生項目和實驗室創建了問題。學生們表示這些問題增強了他們的學習體驗。作者希望與其他教師和學生分享這些項目和實驗室，使課程對雙方都更有趣。

R是一個很好的平台。本書使用R語言和真實數據集。這些實驗室可以用於小組合作、課堂上或自主學習。這些項目實驗室多年來經過了課堂測試，取得了良好的效果，鼓勵學生應用關鍵概念和技術來分析和呈現結果。

Dr. William P. Fox is a visiting professor of Computational Operations Research in the Mathematics Department at the College of William and Mary. He is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School. He earned his BS degree from the United States Military Academy, MS in operations research from the Naval Postgraduate School, and his PhD in Industrial Engineering from Clemson University. He has taught at the United States Military Academy and at Francis Marion University. He has many publications and scholarly activities including 16 books, 21 book chapters and technical reports, 150 journal articles, and more than 150 conference presentations and mathematical modeling workshops.

Rodney X. Sturdivant, PhD, is director of the Statistical Consulting Center and an associate professor in the Department of Statistical Science at Baylor University. He has been senior research biostatistician with the Henry M. Jackson Foundation for the Advancement of Military Medicine supporting the Uniformed Services University of Health Science. Previously, he was professor of Applied Statistics at Azusa Pacific University. He was associate professor of Clinical Public Health in the Biostatistics Division of the College of Public Health at The Ohio State University. He retired as a Colonel after 27-year career in the U.S. Army. He completed his military service as an Academy Professor and Professor of Applied Statistics in the Department of Mathematical Sciences at the United States Military Academy, West Point. He earned a B.S. from West Point, an M.S. in statistics and an M.S. in operations research from Stanford, and a PhD in biostatistics from the University of Massachusetts - Amherst.

Dr. William P. Fox是威廉和瑪麗學院數學系的計算運籌研究訪問教授。他是海軍研究生院國防分析系的名譽教授。他在美國陸軍學院獲得學士學位，在海軍研究生院獲得運籌研究碩士學位，並在克萊姆森大學獲得工業工程博士學位。他曾在美國陸軍學院和弗朗西斯·馬里恩大學任教。他有許多出版物和學術活動，包括16本書籍、21篇書籍章節和技術報告、150篇期刊文章，以及150多次會議演講和數學建模研討會。

Rodney X. Sturdivant博士是貝勒大學統計科學系統計諮詢中心主任和副教授。他曾在亨利·M·傑克遜基金會支持聯合服務醫學院擔任高級研究生生物統計學家。此前，他曾在阿祖薩太平洋大學擔任應用統計學教授。他曾在俄亥俄州立大學公共衛生學院生物統計學部門擔任臨床公共衛生副教授。他在美國陸軍擔任了27年的軍職，最後以陸軍學院數學科學系的學院教授和應用統計學教授的身份完成了軍職。他在西點軍校獲得學士學位，在斯坦福大學獲得統計學碩士學位和運籌研究碩士學位，在麻省大學阿默斯特分校獲得生物統計學博士學位。