Description
Book SynopsisHere is a step-by-step guidebook that is designed to help students on the quantitative section of the SAT. Ace the Math on the SAT will produce an understanding of key mathematical concepts, and unlike other SAT guides, lists skills and capabilities required for the test. More than 300 problems are posed and solved in order to provide a comprehensive review of the material. This guidebook will be useful to students, parents, teachers, and administrators alike.
Trade ReviewJust as the training routine of a professional athlete is more intense than the competition he is training for, the problems discussed are somewhat more challenging than the New SAT itself. Hence, a student who completes the book will find the New SAT itself a breeze. The book trains the student to quickly assess each problem and move to a solution without wasting precious time on dead-ends and detours. To improve a student's SAT score, standard test preparation advice says eliminate as many possible wrong answers from the multiple choice responses given and then guess among the remaining answers. Meierding demonstrates that this strategy is usually counterproductive: it lowers many students' scores rather than raising them. If the SAT were a 26-mile marathon, the test-preparation services coach students on how to run the first 20 miles. Meierding shows how to run the last 6, which determines whether the student gets into the college of his choice or his fall-back school. The difference between students who perform outstandingly on the New SAT and those who merely do well is not knowledge but strategy. Your high school has provided the knowledge; Meierding has the strategy. -- Dr. William H. Heller Ph.D., associate professor of mathematics, University of Texas Pan American
If math is one of your strong suits, and you want to get the very best score possible on the New SAT math component, Meierding's book is for you. ... This book should produce impressive results. * VOYA *
Focusing on the more difficult kinds of SAT questions, this study aid provides 375 worked problems with an explanation of the thought processes needed to solve them, and divides them into 20 chapters on fractions, polygons, geometry, work problems, functions, probability, and data representation. * Scitech Book News *
This exemplary book provides students with an abundance of well developed problems covering a wide spectrum of mathematical concepts. Many of the problems are quite different than the typical textbook problems. Problem solving strategies are carefully chosen and the solutions to the problems are clearly explained. An exciting feature in this book is the author’s suggested alternative solutions to many of the problems. The 'key capabilities' and 'chapter summaries' provide the user helpful hints for success on the SAT exam. The students who choose to use this book to prepare for the SAT will not only do better on that exam but will also learn much about the skills of problem solving. I highly recommend this commendable book. -- Dr. Lee N. von Kuster, professor of mathematics education, University of Texas Pan American
Table of ContentsPart 1 Part I: General Overview and Remarks Chapter 2 The Quantitative Section of the SAT Part 3 Part 2: How to Think about and Solve Problems Chapter 4 Standard Procedures 1 Chapter 5 Standard Procedures 2 Chapter 6 Possibilities Chapter 7 Ratios and Arrangements Chapter 8 Equations and Roots Chapter 9 Geometric Problems Part 10 Part 3: Mathematical Concepts and Worked Problems Chapter 11 Basic Mathematical Entities and Operations Chapter 12 Integer Problems and Basic Number Theory Chapter 13 Sequences, Series, Growth, and Decay Chapter 14 Fractions and Rational Expressions Chapter 15 Ratios, Proportions, and Percentages Chapter 16 Lines, Angles, and Triangles Chapter 17 Polygons Chapter 18 Circles and Polygons Chapter 19 Exponents and Roots Chapter 20 Equations Chapter 21 Word Problems Chapter 22 Inequalities Chapter 23 Functions Chapter 24 Absolute Value Chapter 25 Sets and Logical Reasoning Chapter 26 Arrangements Chapter 27 Probability Chapter 28 Data Representation 1 Chapter 29 Data Representation 2
