Quantitative Reasoning: Tools for Today's Informed Citizen, 2nd edition

English

This Second Edition of Quantitative Reasoning empowers students to use quantitative information to make responsible financial, environmental, and health-related decisions in their daily lives. Students develop their critical thinking skills through numerous examples, explorations, and activities featuring real data. Students use a variety of analysis throughout the text: inductive and deductive reasoning; tabular, symbolic, verbal, and graphical forms of functions and relations; graphs and pictorial representations of data; interpretations of probabilistic data; surveys and statistical studies.

Sevilla and Somer's Quantitative Reasoning, 2nd Edition comes available with WileyPLUS, a research-based, online environment for effective teaching and learning, which takes the guesswork out of studying by providing them with a clear roadmap: what to do, how to do it, and whether they did it right.

WileyPLUS sold separately from text.

English

Alicia Sevilla has a Ph.D. in mathematics from Cornell University and is Professor of Mathematics at Moravian College, where she has taught for over 20 years. She participated in the two FIPSE projects that produced the COMPANION TO CALCULUS and mentored other institutions to adopt the integrated approach. She recently served as Chair of the Department of Mathematics and Computer Science, and was co-director of a National Science Foundation grant to develop and implement a quantitative reasoning course. She is an active member of the Mathematical Association of America, and serves as Coordinat.

English

Chapter 1: Organizing Information Pictorially Using Charts and Graphs

Chapter 2: Bivariate Data

Chapter 3: Graphs of Functions

Chapter 4: Multiple Variable Functions

Chapter 5: Proportional, Linear, and Piecewise Linear Functions

Chapter 6: Modeling with Linear and Exponential Functions

Chapter 7: Logarithms and Scientific Notation

Chapter 8: Indexes and Ratings

Chapter 9: Personal Finance

Chapter 10: Introduction to Problem Solving

Chapter 11: Decision Making

Chapter 12: Inductive Reasoning

Chapter 13: Deductive Reasoning

Chapter 14: Apportionment

Chapter 15: More on Problem Solving

Chapter 16: Average and Five-Number Summary

Chapter 17: Standard Deviation, z-Score, and Normal Distributions

Chapter 18: Basics of Probability

Chapter 19: Conditional Probability and Tables

Chapter 20: Sampling and Surveys

Chapter 21: More on Decision Making