Introduction to Probability

Name: Introduction to Probability
Author: Mark Daniel WARD, Elisabeth A Gundlach
ISBN: 9780716771098

Mark Daniel WARD, Elisabeth A Gundlach

Language: English

Published by Macmillan Learning, US, 2015

0716771098 / 9780716771098

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Unlike most probability textbooks, which are often written only for the mathematically-oriented students, Mark Ward and Ellen Gundlach's Introduction to Probability makes the subject much more accessible, reaching out to a much wider introductory-level audience. Its approachable and conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of students understand the basics of probability theory and its broad applications in the outside world. This textbook has been extensively class-tested throughout its preliminary edition in order to make it even more effective at building confidence in students who have viable problem-solving potential but are not fully comfortable in the realm of mathematics. Its rich pedagogy, combined with a thoughtful structure, provides an accessible introduction to this complex subject.

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Title: Introduction to Probability
Author: Mark Daniel WARD, Elisabeth A Gundlach
Publisher: Macmillan Learning, US
Publication year: 2015
Condition: New
Binding: Hardback
Language: English
ISBN 10: 0716771098
ISBN 13: 9780716771098
Edition: 1st ed. 2016.

About the Author

Mark Daniel Ward is an Associate Professor of Statistics at Purdue University. He has held visiting faculty positions at The George Washington University, the University of Maryland, the University of Paris 13, and a lecturer position at the University of Pennsylvania. He received his Ph.D. from Purdue University in Mathematics with Specialization in Computational Science (2005), M.S. in Applied Mathematics Science from the University of Wisconsin, Madison (2003), and B.S. in Mathematics and Computer Science from Denison University (1999). His research interests include probabilistic, combinatorial, and analytical techniques for the analysis of algorithms and data structures. Since 2008, he has been the Undergraduate Chair in Statistics at Purdue, and the Associate Director for Actuarial Science.

Dr. Ward is currently the Principal Investigator for two NSF grants, "MCTP: Sophomore Transitions: Bridges into a Statistics Major and Big Data Research Experiences via Learning Communities" (NSF-DMS #1246818, 2013-2018), and "Science of Information: Bringing Many Disciplines Together" (NSF-DUE #1140489, 2012-2014). He is also Associate Director of the Center for Science of Information (NSF-CCF #0939370, 2010-2015).
He and his wife homeschool their four children.

Ellen Gundlach has been teaching introductory statistics and probability classes at Purdue University as a continuing lecturer since 2002, with prior experience teaching mathematics or chemistry classes at Purdue, Ivy Tech Community College of Indiana, The Ohio State University, and Florida State University. She is an associate editor of CAUSEweb and editor of the MERLOT Statistics Board. Her research interests include K12 outreach activities (ASA’s first Hands-on Statistics Activity grand prize winner in 2010), online and hybrid teaching (Indiana Council for Continuing Education’s Course of the Year award in 2011), T.A. training, academic misconduct, statistical literacy, and using social media in statistics courses. She enjoys spending time with her sons Philip and Callum, playing the flute with several local groups, and supporting (and formerly skating with) the Lafayette Brawlin’ Dolls roller derby team.

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