WebAssign for Probability and Statistics for Engineering and the Sciences

Devore

ISBN 10: 1337765260 / ISBN 13: 9781337765268

Editore: Cengage Higher Education, 2017

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Dati bibliografici

• Titolo: WebAssign for Probability and Statistics for Engineering and the Sciences
• Editore: Cengage Higher Education
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1337765260
• ISBN 13: 9781337765268
• Condizione: Very Good

Descrizione articolo

Riassunto

WebAssign for Probability and Statistics for Engineering and the Sciences helps you prepare for class with confidence. Its online learning platform for your math, statistics and science courses helps you practice and absorb what you learn. Videos and tutorials walk you through concepts when you're stuck, and instant feedback and grading let you know where you stand--so you can focus your study time and perform better on in-class assignments. Study smarter with WebAssign!

Informazioni sull?autore

Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the “Journal of the American Statistical Association.” In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, a high school teacher in Brooklyn.