Introduction to Probability

Ward, Mark|Gundlach, Ellen

ISBN 10: 0716771098 / ISBN 13: 9780716771098

Published by W H FREEMAN & CO, 2015

About this Item

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 audi. Seller Inventory # 42839473

Bibliographic Details

Title: Introduction to Probability

Publisher: W H FREEMAN & CO

Publication Date: 2015

Binding: Soft cover

Condition: New

About this title

Synopsis:

Geared toward an introductory audience through its conversational style, Introduction to Probability uses visuals, examples, and a stepped out approach to problem solving to get students comfortable with the math involved in the course.

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.