03364cam a2200541 i 4500 9781003317906 FlBoTFG 20251030122236.0 m o d cr ||||||||||| 221206s2022 flu ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781003317906 1003317901 9781000825572 (electronic bk. : PDF) 1000825574 (electronic bk. : PDF) 9781000825589 (electronic bk. : EPUB) 1000825582 (electronic bk. : EPUB) 10.1201/9781003317906 doi (OCoLC)1353298922 (OCoLC-P)1353298922 QA273 MAT 029000 bisacsh PBT bicssc Fox, William P., 1949- author. 93578 Probability and Statistics for Engineering and the Sciences with Modeling using R / by William P. Fox, Rodney X. Sturdivant. 1st edition. Boca Raton : Chapman & Hall/CRC Press, 2022. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Probability and statistics courses are more popular than ever. Regardless of your major or your profession, you will most likely use concepts from probability and statistics often in your career. 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. OCLC-licensed vendor bibliographic record. R (Computer program language) 65001 Mathematical models. 66910 Probabilities. 65724 Mathematical statistics. 67233 Science. Engineering. 66077 MATHEMATICS / Probability & Statistics / General bisacsh 63965 Sturdivant, Rodney X., author. 93579 Taylor & Francis https://www.taylorfrancis.com/books/9781003317906 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 67579 67579