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Manhattan GRE [.PDF] Download : Quantitative Comparisons & Data Interpretation GRE Strategy Guide, 2nd Ed (Manhattan GRE Strategy Guides)

Book Description:

Updated for the revised GRE, this guide is really two books in one, thoroughly covering two of the quantitative question types on the GRE.

The Guide to Quantitative Comparisons provides students a framework for understanding what Quantitative Comparisons questions tests. Most importantly, it discusses time-saving strategies specific to the Quantitative Comparisons format.

The Guide to Data Interpretation presents an overview of the types of graphs students can expect to see on the GRE. It also discusses the different types of questions typically seen on the GRE and provides guidelines for reading graphs and combining information from different graphs to answer questions.



Purchase of this book includes one year of access to 6 of Manhattan GRE’s online practice exams.

Chapter by Chapter

1. INTRODUCTION & THE REVISED GRE
Introduction, How to Use Manhattan GRE's Strategy Guides, The Revised GRE, Question Formats in Detail Part I: Quantitative Comparisons

2. THE BASICS
Trying to Prove D, Compare, Don't Calculate

3. ALGEBRA
Equations, Quadratic Equations, Formulas, Inequalities & Absolute Values

4. FRACTIONS, DECIMALS, & PERCENTS
Quick Elimination: Less Than 1 vs. Greater Than 1, Simplifying Complex Fractions, Fractions with Exponents - Plug in 0 and 1, Percents

5. GEOMETRY
Shape Geometry, Variable Creation, Word Geometry, Using Numbers

6. NUMBER PROPERTIES
Positives & Negatives, Exponents, Consecutive Integers

7. WORD PROBLEMS
Ratios, Statistics
Part II: Data Interpretation

8. DATA INTERPRETATION
The Basic Process of Solving a Data Interpretation Question, Data Interpretation Graphs and Charts, Other Common Types of Diagrams, Questions That Typically Require Input From More Than One Graph to Solver.


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Manhattan GRE Strategy Guide: Quantitative Comparisons & Data Interpretation.
June 01, 2013
4/5 stars
Manhattan GRE Strategy Guide: Quantitative Comparisons & Data Interpretation.

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