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Core-Plus Mathematics - Contemporary Mathematics In Context, Course 3 PDF

656 Pages·2008·19.64 MB·English
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Preview Core-Plus Mathematics - Contemporary Mathematics In Context, Course 3

i s e nteractive tudent dition 2nd Edition James T. Fey • Christian R. Hirsch • Eric W. Hart Harold L. Schoen • Ann E. Watkins with Beth E. Ritsema • Rebecca K. Walker • Sabrina Keller Robin Marcus • Arthur F. Coxford • Gail Burrill 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. Copyright © 2009 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. Send all inquiries to: Glencoe/McGraw-Hill 8787 Orion Place Columbus, OH 43240-4027 ISBN: 978-0-07-877261-0 (Student Edition) Core-Plus Mathematics MHID: 0-07-877261-3 (Student Edition) Contemporary Mathematics in Context Course 3 Student Edition Printed in the United States of America. 1 2 3 4 5 6 7 8 9 10 071/043 17 16 15 14 13 12 11 10 09 08 Core-Plus Mathematics 2 Development Team Senior Curriculum Developers Advisory Board Collaborating Teachers James T. Fey Diane Briars Mary Jo Messenger University of Maryland Pittsburgh Public Schools Howard County Public Schools, Maryland Christian R. Hirsch (Director) Jeremy Kilpatrick Western Michigan University 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 Madeline Ahearn California State University, Northridge Geoffrey Birky Mathematical Consultants Kyle Cochran Deborah Hughes-Hallett Contributing Curriculum Michael Conklin University of Arizona / Harvard Developers University Brandon Cunningham Beth E. Ritsema Tim Fukawa-Connelly Stephen B. Maurer Western Michigan University University of Maryland Swarthmore College Rebecca K. Walker Dana Cox William McCallum Grand Valley State University Dana Grosser University of Arizona Sabrina Keller Anna Kruizenga Doris Schattschneider Michigan State University Nicole Lanie Moravian College Diane Moore Robin Marcus Richard Scheaffer Western Michigan University University of Maryland University of Florida Arthur F. Coxford (deceased) Undergraduate Assistants University of Michigan Evaluation Consultant Cassie Durgin Gail Burrill Norman L. Webb University of Maryland Michigan State University University of Wisconsin-Madison Rachael Kaluzny (First edition only) Jessica Tucker Technical Coordinator Western Michigan University 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 3. Hickman High School Riverside University Columbia, Missouri High School Sandra Baker Milwaukee, Wisconsin Lindsay Carlson Cheryl Brenner Melissa Hundley Scott Hanson Stephanie Krawczyk Alice Lanphier Tiffany McCracken Rock Bridge High School Dana Meyer Ryan Pingrey Columbia, Missouri Cynthia Francisco Holland Christian Donna Lillard High School Linda Shumate Holland, Michigan Sauk Prairie High School Brian Lemmen Prairie du Sac, Wisconsin Mike Verkaik Joan Quenan Malcolm Price Lab School Mary Walz Cedar Falls, Iowa Washington High School Megan Balong Milwaukee, Wisconsin James Maltas Anthony Amoroso iv Overview of Course 3 U NI T 1 R P EASONING AND ROOF Reasoning and Proof develops student understanding of Lesson 1 Reasoning Strategies formal reasoning in geometric, algebraic, and statistical Lesson 2 Geometric Reasoning contexts and of basic principles that underlie those and Proof reasoning strategies. Lesson 3 Algebraic Reasoning Topics include inductive and deductive reasoning strategies; and Proof principles of logical reasoning—Affirming the Hypothesis Lesson 4 Statistical Reasoning and Chaining Implications; relation among angles formed Lesson 5 Looking Back by two intersecting lines or by two parallel lines and a transversal; rules for transforming algebraic expressions and equations; design of experiments including the role of randomization, control groups, and blinding; sampling distribution, randomization test, and statistical significance. U NI T 2 I L NEQUALITIES AND INEAR P ROGRAMMING Inequalities and Linear Programming develops student Lesson 1 Inequalities in ability to reason both algebraically and graphically to solve One Variable inequalities in one and two variables, introduces systems Lesson 2 Inequalities in of inequalities in two variables, and develops a strategy Two Variables for optimizing a linear function in two variables within Lesson 3 Looking Back a system of linear constraints on those variables. Topics include inequalities in one and two variables, number line graphs, interval notation, systems of linear inequalities, and linear programming. U NI T 3 S C IMILARITY AND ONGRUENCE Similarity and Congruence extends student understanding of Lesson 1 Reasoning about similarity and congruence and their ability to use those Similar Triangles relations to solve problems and to prove geometric assertions Lesson 2 Reasoning about with and without the use of coordinates. Congruent Triangles Topics include connections between Law of Cosines, Lesson 3 Looking Back Law of Sines, and sufficient conditions for similarity and congruence of triangles, centers of triangles, applications of similarity and congruence in real-world contexts, necessary and sufficient conditions for parallelograms, sufficient conditions for congruence of parallelograms, and midpoint connector theorems. v Overview of Course 3 U NI T 4 S V AMPLES AND ARIATION Samples and Variation extends student understanding of the Lesson 1 Normal Distributions measurement of variability, develops student ability to use Lesson 2 Binomial the normal distribution as a model of variation, introduces Distributions students to the binomial distribution and its use in decision Lesson 3 Statistical Process making, and introduces students to the probability and Control statistical inference involved in control charts used in industry for statistical process control. Lesson 4 Looking Back Topics include normal distribution, standardized scores, binomial distributions (shape, expected value, standard deviation), normal approximation to a binomial distribution, odds, statistical process control, control charts, and the Central Limit Theorem. U NI T 5 P OLYNOMIAL AND R F ATIONAL UNCTIONS Polynomial and Rational Functions extends student ability Lesson 1 Polynomial to represent and draw inferences about polynomial and Expressions and rational functions using symbolic expressions and Functions manipulations. Lesson 2 Quadratic Polynomials Topics include definition and properties of polynomials, operations on polynomials; completing the square, proof Lesson 3 Rational Expressions of the quadratic formula, solving quadratic equations and Functions (including complex number solutions), vertex form of Lesson 4 Looking Back quadratic functions; definition and properties of rational functions, operations on rational expressions. U NI T 6 C C F IRCLES AND IRCULAR UNCTIONS Circles and Circular Functions develops student Lesson 1 Properties of Circles understanding of relationships among special lines, Lesson 2 Circular Motion and segments, and angles in circles and the ability to use Periodic Functions properties of circles to solve problems; develops student Lesson 3 Looking Back understanding of circular functions and the ability to use these functions to model periodic change; and extends student ability to reason deductively in geometric settings. Topics include properties of chords, tangent lines, and central and inscribed angles of circles; linear and angular velocity; radian measure of angles; and circular functions as models of periodic change. vi Overview of Course 3 U NI T 7 R I ECURSION AND TERATION Recursion and Iteration extends student ability to represent, Lesson 1 Modeling Sequential analyze, and solve problems in situations involving Change Using sequential and recursive change. Recursion and Iteration Topics include iteration and recursion as tools to model and Lesson 2 A Recursive View analyze sequential change in real-world contexts, including of Functions compound interest and population growth; arithmetic, geometric, and other sequences; arithmetic and geometric Lesson 3 Iterating Functions series; finite differences; linear and nonlinear recurrence Lesson 4 Looking Back relations; and function iteration, including graphical iteration and fixed points. U NI T 8 I F NVERSE UNCTIONS Inverse Functions develops student understanding of Lesson 1 What Is An Inverse inverses of functions with a focus on logarithmic functions Function? and their use in modeling and analyzing problem situations Lesson 2 Common Logarithms and data patterns. and Their Properties Topics include inverses of functions; logarithmic functions Lesson 3 Inverse and their relation to exponential functions, properties of Trigonometric logarithms, equation solving with logarithms; and inverse Functions trigonometric functions and their applications to solving Lesson 4 Looking Back trigonometric equations. vii Contents U NI T 1 R P EASONING AND ROOF Lesson 1 Reasoning Strategies. . . . . . . . . . . . . . . . . . . . . . 2 Investigations 1 Reasoned Arguments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Reasoning with If-Then Statements . . . . . . . . . . . . . . . . . . . . . . 10 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Lesson 2 Geometric Reasoning and Proof . . . . . . . . . . . . . . 29 Investigations 1 Reasoning about Intersecting Lines and Angles . . . . . . . . . . . . . . . 30 2 Reasoning about Parallel Lines and Angles . . . . . . . . . . . . . . . . . . 35 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Lesson 3 Algebraic Reasoning and Proof. . . . . . . . . . . . . . . 52 Investigations 1 Reasoning with Algebraic Expressions . . . . . . . . . . . . . . . . . . . . 53 2 Reasoning with Algebraic Equations . . . . . . . . . . . . . . . . . . . . . 58 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Lesson 4 Statistical Reasoning . . . . . . . . . . . . . . . . . . . . . 74 Investigations 1 Design of Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 2 By Chance or from Cause? . . . . . . . . . . . . . . . . . . . . . . . . . . 81 3 Statistical Studies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Lesson 5 Looking Back . . . . . . . . . . . . . . . . . . . . . . . . 102 U NI T 2 I L P NEQUALITIES AND INEAR ROGRAMMING Lesson 1 Inequalities in One Variable . . . . . . . . . . . . . . . . 108 Investigations 1 Getting the Picture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 2 Quadratic Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 3 Complex Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 Lesson 2 Inequalities in Two Variables. . . . . . . . . . . . . . . 127 Investigations 1 Solving Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 2 Linear Programming—A Graphic Approach . . . . . . . . . . . . . . . . . . 132 3 Linear Programming—Algebraic Methods . . . . . . . . . . . . . . . . . . 137 On Your Own. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .144 Lesson 3 Looking Back . . . . . . . . . . . . . . . . . . . . . . . . .158 viii Contents U NI T 3 S C IMILARITY AND ONGRUENCE Lesson 1 Reasoning about Similar Triangles . . . . . . . . . . . . 162 Investigations 1 When Are Two Polygons Similar? . . . . . . . . . . . . . . . . . . . . . . . 164 2 Sufficient Conditions for Similarity of Triangles . . . . . . . . . . . . . . . . 168 3 Reasoning with Similarity Conditions . . . . . . . . . . . . . . . . . . . . . 173 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 Lesson 2 Reasoning about Congruent Triangles . . . . . . . . . 195 Investigations 1 Congruence of Triangles Revisited. . . . . . . . . . . . . . . . . . . . . . . 196 2 Congruence in Triangles. . . . . . . . . . . . . . . . . . . . . . . . . . . .200 3 Congruence in Quadrilaterals . . . . . . . . . . . . . . . . . . . . . . . . .204 4 Congruence-Preserving Transformations . . . . . . . . . . . . . . . . . . .208 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 Lesson 3 Looking Back. . . . . . . . . . . . . . . . . . . . . . . . . .229 U NI T 4 S V AMPLES AND ARIATION Lesson 1 Normal Distributions . . . . . . . . . . . . . . . . . . . . 236 Investigations 1 Characteristics of a Normal Distribution. . . . . . . . . . . . . . . . . . . . 237 2 Standardized Values. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242 3 Using Standardized Values to Find Percentiles . . . . . . . . . . . . . . . . 245 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .248 Lesson 2 Binomial Distributions . . . . . . . . . . . . . . . . . . . 259 Investigations 1 Shape, Center, and Spread . . . . . . . . . . . . . . . . . . . . . . . . . .260 2 Binomial Distributions and Making Decisions . . . . . . . . . . . . . . . . .266 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271 Lesson 3 Statistical Process Control . . . . . . . . . . . . . . . . . 283 Investigations 1 Out of Control Signals. . . . . . . . . . . . . . . . . . . . . . . . . . . . .285 2 False Alarms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .294 3 The Central Limit Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . 297 On Your Own . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .303 Lesson 4 Looking Back. . . . . . . . . . . . . . . . . . . . . . . . . . 316 ix

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