Thinking Quantitatively: Communicating with Numbers Update MyLab Math Title-Specific Access Card with Guided Worksheets -- Title-Specific Access Card Package / Edition 1

by Eric Gaze

Overview

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For courses in quantitative reasoning, quantitative literacy, numeracy, or liberal arts mathematics for non-STEM students.

Empowerment through Numbers

Thinking Quantitatively: Communicating with Numbers, by Eric Gaze, is more than a simple math course; it develops well-rounded students who can think critically, while showcasing how we use numbers to communicate in everyday life. Today’s students need to be numerically literate to thrive in our increasingly data-driven society, and this program teaches students the math needed to develop the critical thinking skills required to make good decisions and become informed citizens. Thinking Quantitatively is intended for use in a credit-bearing quantitative reasoning or liberal arts math course for non-STEM students. The Update includes new coverage of Probability topics, Excel tutorials created by the author, and increased Excel homework available to be assigned.

Built in MyMathLab, this program offers an interactive eText, videos, just-in-time tutorials, assessment, and Guided Worksheets. The Guided Worksheets are a printed resource students will use for note-taking and working out problems, and can be used as an in-class resource or to facilitate learning at home in tandem with their MyMathLab course. Authentic, real-world problem-solving using spreadsheet software gives students the opportunity to develop sophisticated reasoning about everyday topics. Thinking Quantitatively enriches the learning experience by providing students with the tools to process the quantitative data that is pervasive in their everyday lives.

Personalize learning with MyMathLab

MyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and engage with media resources to help them absorb course material and understand difficult concepts. NEW! The Update MyMathLab course provides additional resources, including author-crafted videos and exercises, and expanded Excel Homework to build problem-solving and reasoning skills while working through the math.

This package contains the MyMathLab access kit plus the Guided Worksheets.

NOTE: This package includes a MyLab Math access kit created specifically for Gaze, Thinking Quantitatively. This title-specific access kit provides access to the Gaze, Thinking Quantitatively accompanying MyLab course ONLY.

0134539532 / 9780134539539 Thinking Quantitatively: Communicating with Numbers Update MyMathLab Access Card with Guided Worksheets — Access Card Package

Package consists of:

• 0134540441 / 9780134540443 Guided Worksheets for Thinking Quantitatively: Communicating with Numbers Update
• 0134542703 / 9780134542706 Thinking Quantitatively: Communicating with Numbers Update with MML Access Card

Product Details

ISBN-13:	9780134539539
Publisher:	Pearson Education
Publication date:	10/28/2016
Edition description:	Updated
Product dimensions:	8.30(w) x 10.70(h) x 0.40(d)

About the Author

Eric Gaze is a well-known leader in the quantitative reasoning community. After experiences teaching a liberal arts math course and an Excel course early in his career, Eric began to think about giving students a truly meaningful experience in math. He also came to see that spreadsheets were a powerful way to engage in real-world problem solving while learning mathematical concepts. Excited to discover a group of like-minded educators talking about “Quantitative Reasoning”, Eric began seriously working out a framework for a new course based around both proportional reasoning and Excel.

Eric Gaze directs the Quantitative Reasoning (QR) program at Bowdoin College, is Chair of the Center for Learning and Teaching, and is a Lecturer in the Mathematics Department. He is the current President of the National Numeracy Network (NNN 2013 — 2017), and a past chair of SIGMAA-QL (2010-12). He writes a column, Ratiocination, for the NNN website. Eric has given talks and led workshops on the topics of QR Across the Curriculum, Creating a QR Entry Point Course, Writing with Numbers, QR Assessment, and Running a QR Program; and has served on review teams of QR programs. Eric is the Principal Investigator for a NSF TUES Type I grant (2012-14), Quantitative Literacy and Reasoning Assessment (QLRA) DUE 1140562. This collaborative project builds on Bowdoin College's QR instrument which is used for advising purposes and is available to interested schools. Prior to coming to Bowdoin, Eric led the development of a Masters in Numeracy program for K-12 teachers at Alfred University as an Associate Professor of Mathematics and Education.

Table of Contents

Spreadsheet Basics

A.1 Introduction to Spreadsheets

A.2 Built-in Functions

A.3 Charts

Chapter 1: An Excel-lent Approach to Relationships

1.1 Functions

1.2 Analytic Representations: Equations

1.3 Numerical and Graphical Representations: Tables and Charts

1.4 Spotlight on Statistics

Chapter 2: Ratios and Proportions

2.1 Ratios and Proportions

2.2 Weighted Averages

2.3 Proportionality

2.4 Financial Literacy

2.5 Spotlight on Statistics

Chapter 3: Units, Conversions, Scales, and Rates

3.1 Units and Conversions

3.2 Scales

3.3 Rates

3.4 Dosages and Concentrations

3.5 Spotlight on Statistics

Chapter 4: Percentages

4.1 Percentages

4.2 Part-to-Whole Ratios

4.3 Percent Change and Difference

4.4 Data Tables with Percentages

4.5 Spotlight on Statistics

Chapter 5: Linear Functions

5.1 Proportionality

5.2 Slopes and y-intercepts

5.3 Linear Equations

5.4 Spotlight on Statistics

Chapter 6: Exponential Functions

6.1 Constant Percent Change

6.2 Exponential Functions

6.3 Average Percent Change

6.4 Spotlight on Statistics

Chapter 7: Logical Arithmetic

7.1 Logarithms

7.2 Doubling Times and Half-Lives

7.3 Annual Percentage Yield

7.4 Continuous Growth and Euler’s Number: e

7.5 Spotlight on Statistics

Chapter 8: Curve Fitting and Correlation

8.1 Correlation, Causation, and Confounding Factors

8.2 Best-Fit, Least-Squares, and Regression Lines

8.3 Correlation Coefficient and Coefficient of Linear Determination

8.4 Spotlight on Statistics

Chapter 9: Financial Health

9.1 Retirement

9.2 Securities: Cash, Stocks, Mutual Funds, and Bonds

9.3 401(k) Plans

9.4 Built-in Financial Functions

9.5 Loans

Chapter 10: Logically!

10.1 Logical Statements

10.2 Excel’s IF Function

10.3 VLOOKUP

10.4 Random Simulations

Chapter 11: Chance, Risk, and Likelihood

11.1 Risk and Decision Making

11.2 Probability and Counting

11.3 Conditional Probabilities

11.4 Unions and Complements

11.5 Spotlight on Statistics