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Core-Plus Mathematics: Contemporary Mathematics in Context, Course 1 PDF

640 Pages·2007·24.05 MB·English
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Preview Core-Plus Mathematics: Contemporary Mathematics in Context, Course 1

i s e nteractive tudent dition 2nd Edition Christian R. Hirsch (cid:129) James T. Fey (cid:129) Eric W. Hart Harold L. Schoen (cid:129) Ann E. Watkins with Beth E. Ritsema (cid:129) Rebecca K. Walker (cid:129) Sabrina Keller Robin Marcus (cid:129) Arthur F. Coxford (cid:129) Gail Burrill (tl tr bl)Getty Images, (br)Japack Company/CORBIS Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Except as permitted under the United States Copyright Act, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without prior permission of the publisher. This material is based upon work supported, in part, by the National Science Foundation under grant no. ESI 0137718. Opinions expressed are those of the authors and not necessarily those of the Foundation. Send all inquiries to: Glencoe/McGraw-Hill 8787 Orion Place Columbus, OH 43240-4027 ISBN-13: 978-0-07-861521-4 (Student Edition) Core-Plus Mathematics ISBN-10: 0-07-861521-6 (Student Edition) Contemporary Mathematics in Context Course 1 Student Edition Printed in the United States of America. 2 3 4 5 6 7 8 9 10 079/043 15 14 13 12 11 10 09 08 07 Core-Plus Mathematics 2 Development Team Senior Curriculum Developers Advisory Board Collaborating Teachers Christian R. Hirsch (Director) Diane Briars Mary Jo Messenger Western Michigan University Pittsburgh Public Schools Howard Country Public Schools, Maryland James T. Fey Jeremy Kilpatrick University of Maryland University of Georgia Jacqueline Stewart Okemos, Michigan Eric W. Hart Robert E. Megginson Maharishi University of University of Michigan Management Graduate Assistants Kenneth Ruthven Allison BrckaLorenz Harold L. Schoen University of Cambridge Christopher Hlas University of Iowa David A. Smith University of Iowa Ann E. Watkins Duke University Michael Conklin California State University, University of Maryland Northridge Mathematical Consultants Jodi Edington Deborah Hughes-Hallett Contributing Curriculum University of Arizona / Harvard Karen Fonkert Developers University Dana Grosser Beth E. Ritsema Anna Kruizenga Stephen B. Maurer Western Michigan University Swarthmore College Diane Moore Rebecca K. Walker Western Michigan University William McCallum Grand Valley State University University of Arizona Undergraduate Assistants Sabrina Keller Doris Schattschneider Michigan State University Cassie Durgin Moravian College University of Maryland Robin Marcus Richard Scheaffer University of Maryland Rachael Kaluzny University of Florida Ashley Wiersma Arthur F. Coxford (deceased) Western Michigan University University of Michigan Evaluation Consultant Gail Burrill Norman L. Webb Michigan State University University of Wisconsin-Madison (First edition only) Technical Coordinator Principal Evaluator James Laser Steven W. Ziebarth Western Michigan University Western Michigan University iii Core-Plus Mathematics 2 Field-Test Sites Core-Plus Mathematics 2 builds on the strengths of the 1st edition, which was shaped by multi-year field tests in 36 high schools in Alaska, California, Colorado, Georgia, Idaho, Iowa, Kentucky, Michigan, Ohio, South Carolina, and Texas. Each revised text is the product of a three-year cycle of research and development, pilot testing and refinement, and field testing and further refinement. Special thanks are extended to the following teachers and their students who participated in the testing and evaluation of 2nd Edition Course 1. Hickman High School Oakland Junior High School Sauk Prairie Middle School Columbia, Missouri Columbia, Missouri Sauk City, Wisconsin Peter Doll Teresa Barry Julie Dahlman Erin Little Janine Jorgensen Holland Christian High Christine Sedgwick School South Shore Middle School Dana Sleeth Holland, Michigan Holland, Michigan Jeff Goorhouse Riverside University Lynn Schipper Tim Laverell High School Washington High School Brian Lemmen Milwaukee, Wisconsin Milwaukee, Wisconsin Mike Verkaik Cheryl Brenner Anthony Amoroso Alice Lanphier Jefferson Junior High School Debbie French Ela Kiblawi Columbia, Missouri West Junior High School Marla Clowe Rock Bridge High School Columbia, Missouri Lori Kilfoil Columbia, Missouri Josephus Johnson Martha McCabe Nancy Hanson Rachel Lowery Paul Rahmoeller Sauk Prairie High School Mike Rowson Evan Schilling Prairie du Sac, Wisconsin Amanda Schoenfeld Malcolm Price Lab School Joel Amidon Patrick Troup Cedar Falls, Iowa Shane Been James Maltas Kent Jensen Josh Wilkinson Scott Schutt Dan Tess North Shore Middle School Mary Walz Holland, Michigan Sheila Schippers Brenda Katerberg iv Overview of Course 1 U NI T 1 P C ATTERNS OF HANGE Patterns of Change develops student ability to recognize and Lesson 1 Cause and Effect describe important patterns that relate quantitative variables, Lesson 2 Change Over Time to use data tables, graphs, words, and symbols to represent Lesson 3 Tools for Studying the relationships, and to use reasoning and calculating tools Patterns of Change to answer questions and solve problems. Lesson 4 Looking Back Topics include variables and functions, algebraic expressions and recurrence relations, coordinate graphs, data tables and spreadsheets, and equations and inequalities. U NI T 2 P D ATTERNS IN ATA Patterns in Data develops student ability to make sense of Lesson 1 Exploring real-world data through use of graphical displays, measures Distributions of center, and measures of variability. Lesson 2 Variability Topics include distributions of data and their shapes, as Lesson 3 Looking Back displayed in dot plots, histograms, and box plots; measures of center including mean and median, and their properties; measures of variability including interquartile range and standard deviation, and their properties; and percentiles and outliers. U NI T 3 L F INEAR UNCTIONS Linear Functions develops student ability to recognize and Lesson 1 Modeling Linear represent linear relationships between variables and to use Relationships tables, graphs, and algebraic expressions for linear functions Lesson 2 Linear Equations to solve problems in situations that involve constant rate of and Inequalities change or slope. Lesson 3 Equivalent Topics include linear functions, slope of a line, rate of Expressions change, modeling linear data patterns, solving linear Lesson 4 Looking Back equations and inequalities, equivalent linear expressions. v Overview of Course 1 U NI T 4 V -E G ERTEX DGE RAPHS Vertex-Edge Graphs develops student understanding of Lesson 1 Euler Circuits: vertex-edge graphs and ability to use these graphs to Finding the Best represent and solve problems involving paths, networks, and Path relationships among a finite number of elements, including Lesson 2 Vertex Coloring: finding efficient routes and avoiding conflicts. Avoiding Conflict Topics include vertex-edge graphs, mathematical modeling, Lesson 3 Looking Back optimization, algorithmic problem solving, Euler circuits and paths, matrix representation of graphs, vertex coloring and chromatic number. U NI T 5 E F XPONENTIAL UNCTIONS Exponential Functions develops student ability to recognize Lesson 1 Exponential Growth and represent exponential growth and decay patterns, to Lesson 2 Exponential Decay express those patterns in symbolic forms, to solve problems Lesson 3 Looking Back that involve exponential change, and to use properties of exponents to write expressions in equivalent forms. Topics include exponential growth and decay functions, data modeling, growth and decay rates, half-life and doubling time, compound interest, and properties of exponents. U NI T 6 P S ATTERNS IN HAPE Patterns in Shape develops student ability to visualize and Lesson 1 Two-Dimensional describe two- and three-dimensional shapes, to represent them Shapes with drawings, to examine shape properties through both Lesson 2 Polygons and experimentation and careful reasoning, and to use those Their Properties properties to solve problems. Lesson 3 Three-Dimensional Topics include Triangle Inequality, congruence conditions for Shapes triangles, special quadrilaterals and quadrilateral linkages, Lesson 4 Looking Back Pythagorean Theorem, properties of polygons, tilings of the plane, properties of polyhedra, and the Platonic solids. vi Overview of Course 1 U NI T 7 Q F UADRATIC UNCTIONS Quadratic Functions develops student ability to recognize Lesson 1 Quadratic Patterns and represent quadratic relations between variables using Lesson 2 Equivalent Quadratic data tables, graphs, and symbolic formulas, to solve problems Expressions involving quadratic functions, and to express quadratic Lesson 3 Solving Quadratic polynomials in equivalent factored and expanded forms. Equations Topics include quadratic functions and their graphs, Lesson 4 Looking Back applications to projectile motion and economic problems, expanding and factoring quadratic expressions, and solving quadratic equations by the quadratic formula and calculator approximation. U NI T 8 P C ATTERNS IN HANCE Patterns in Chance develops student ability to solve problems Lesson 1 Calculating involving chance by constructing sample spaces of equally- Probabilities likely outcomes and to solve more complex probability Lesson 2 Modeling Chance problems by using simulation or geometric models. Situations Topics include sample spaces, equally-likely outcomes, Lesson 3 Looking Back probability distributions, mutually exclusive events, Addition Rule, simulation, Law of Large Numbers, and geometric probability. vii Contents U NI T 1 P C ATTERNS OF HANGE Lesson 1 Cause and Effect . . . . . . . . . . . . . . . . . . . . . . . . 2 Investigations 1 Physics and Business at Five Star Amusement Park. . . . . . . . . . . . . . 4 2 Taking Chances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Trying to Get Rich Quick. . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Lesson 2 Change Over Time . . . . . . . . . . . . . . . . . . . . . . 26 Investigations 1 Predicting Population Change. . . . . . . . . . . . . . . . . . . . . . . . . 27 2 Tracking Change with Spreadsheets. . . . . . . . . . . . . . . . . . . . . . 32 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Lesson 3 Tools for Studying Patterns of Change . . . . . . . . . . 47 Investigations 1 Communicating with Symbols . . . . . . . . . . . . . . . . . . . . . . . . . 48 2 Quick Tables, Graphs, and Solutions. . . . . . . . . . . . . . . . . . . . . . 52 3 The Shapes of Algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Lesson 4 Looking Back . . . . . . . . . . . . . . . . . . . . . . . . . 69 U NI T 2 PATTERNS IN DATA Lesson 1 Exploring Distributions . . . . . . . . . . . . . . . . . . . . 74 Investigations 1 Shapes of Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 2 Measures of Center . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 Lesson 2 Measuring Variability . . . . . . . . . . . . . . . . . . . .103 Investigations 1 Measuring Position . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 2 Measuring and Displaying Variability: The Five-Number Summary and Box Plots. . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 3 Identifying Outliers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 4 Measuring Variability: The Standard Deviation . . . . . . . . . . . . . . . . 116 5 Transforming Measurements. . . . . . . . . . . . . . . . . . . . . . . . . . 124 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Lesson 3 Looking Back . . . . . . . . . . . . . . . . . . . . . . . . . 144 viii Contents U NI T 3 L F INEAR UNCTIONS Lesson 1 Modeling Linear Relationships . . . . . . . . . . . . . . .150 Investigations 1 Getting Credit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 2 Symbolize It . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 3 Fitting Lines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .168 Lesson 2 Linear Equations and Inequalities . . . . . . . . . . . . .186 Investigations 1 Who Will Be the Doctor? . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 2 Using Your Head . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 3 Using Your Head … More or Less. . . . . . . . . . . . . . . . . . . . . . . 194 4 Making Comparisons . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .201 Lesson 3 Equivalent Expressions. . . . . . . . . . . . . . . . . . . . 214 Investigations 1 Different, Yet the Same . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 2 The Same, Yet Different . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .224 Lesson 4 Looking Back. . . . . . . . . . . . . . . . . . . . . . . . . .232 U NI T 4 VERTEX-EDGE GRAPHS Lesson 1 Euler Circuits: Finding the Best Path. . . . . . . . . . . .238 Investigations 1 Planning Efficient Routes . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 2 Making the Circuit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 3 Graphs and Matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .250 Lesson 2 Vertex Coloring: Avoiding Conflict . . . . . . . . . . . .266 Investigations 1 Building a Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 2 Scheduling, Mapmaking, and Algorithms . . . . . . . . . . . . . . . . . . . 270 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276 Lesson 3 Looking Back. . . . . . . . . . . . . . . . . . . . . . . . . .286 ix

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