Quantitative Reasoning
Edition: 2
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This text covers topics which are of importance to every citizen. The first chapter discusses the functions most commonly used in mathematical modeling; the second, the rudiments of the mathematics of personal finance; the third, basic descriptive statistics; and the fourth, voting and apportionment. The book has three goals: to strengthen your mathematical skills; to make you aware of issues that arise in handling quantitative problems; and to show you examples of human problems that have been approached quantitatively. We have found that students generally like the book and the course. The material should be accessible to anyone who has successfully taken Algebra II in high school, though of course having more background will make it easier to learn.
Chapter 1: Modeling
Chapter 2: Rudiments of the Mathematics of Personal Finance
Chapter 3: Basic Descriptive Statistics
Chapter 4: Voting and Apportionment
Stephen Corwin is Professor Emeritus of Mathematics at Radford University. Throughout his academic career, he contributed to mathematics instruction, research, and academic development at the university level, with additional experience in teaching and grant-related scholarly work.
Carrie Case, M.S. is a Senior Instructor of Mathematics and Statistics with experience teaching mathematics and statistics at both the secondary and university levels. She earned a Master of Science in Statistics and a Bachelor of Science in Statistics with a minor in Mathematics from Virginia Tech and holds teaching licensure in secondary mathematics and middle school science and mathematics from Radford University. Her professional interests include statistics education, mathematics instruction, and assessment. In addition to her teaching, she has served as an AP Statistics Reader, a reviewer for statistics education journals, a volunteer statistician with Statistics Without Borders, and a judge for the American Statistical Association's Undergraduate Statistics Project Competition, reflecting her commitment to advancing statistical literacy and education.
Jean Mistele, Ph.D. is a Professor in the Department of Mathematics and Statistics at Radford University, specializing in mathematics education. She earned her Ph.D. from Virginia Tech, master's degrees from Radford University and George Mason University, and a bachelor's degree from Christopher Newport University.
Erik Sorensen, M.Ed. is a Senior Instructor in the Department of Mathematics and Statistics at Radford University. He earned a Master of Education from Virginia Commonwealth University and a Bachelor of Science from Virginia Tech.
William Case, M.A. is a Senior Instructor in the Department of Mathematics and Statistics at Radford University. He earned a Master of Arts from Marshall University and Bachelor of Arts and Bachelor of Science degrees from West Virginia University.