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**Useful Information on GRE - Quantitative Reasoning**

GRE or Graduate Record Examination is a world renowned admission test required to be given by the candidates desirous of taking admission to graduate programs primarily in the areas of engineering and sciences at education institutions in USA. The GRE is designed to help graduate schools assess the qualifications of applicants for advanced study in technical fields. GRE scores are used by more than 3,000 graduate programs throughout the world

The

**Quantitative Reasoning**measure of the GRE assesses your- Basic Mathematical Skills
- Understanding of elementary mathematical concepts
- Ability to reason quantitatively and to model and solve problems with quantitative methods

Some of the Quantitative Reasoning questions are posed in real- life settings, while others are posed in purely mathematical settings. Many of these questions are word problems. The skills, concepts and abilities are assessed in four areas

**Arithmetic**topics include properties and types of integers such as divisibility, factorization, prime numbers, remainders and odd even integers; arithmetic operations, exponents and roots; and concepts such as estimation, percent, ratio, rate, absolute value, the number line, decimal representation and sequences of numbers.

**Algebra**topics include operations with exponents; factoring and simplifying algebraic expressions; relations, functions, equations and inequalities; solving linear and quadratic equations and inequalities; solving simultaneous equations and inequalities; setting up equations to solve word problems and coordinate geometry, including graph of functions, equations and inequalities, intercepts and slopes of lines.

**Geometry**topics include parallel and perpendicular lines, circles, and triangles- including isosceles, equilateral and 30-60 and 90 degree triangles- quadrilaterals, other polygons, congruent and similar figures, three dimensional figures, area, perimeter, volume, the Pythagorean Theorem and angle measurement in degrees. The ability to construct proofs is not tested.

Data Analysis topics include basic descriptive statistics, such as mean, median, mode, range, standard deviation, interquarile range, quartiles and percentiles; interpretation of data in tables and graphs such as line graphs, bar graphs, circle graphs, boxplots, scatterplots and frequency distributions; elementary probability such as probabilities of compound events and independent events; random variables and probability distributions including normal distributions and counting methods such as combinations, permutations and Venn diagrams

**Quantitative Reasoning Question Types**

Quantitative Reasoning measure has four types of questions:

- Quantitative Comparison questions
- Multiple-choice questions- Select one answer choice
- Multiple choice questions- Select one or more answer choices
- Numeric Entry questions

Each question appears either independently as a discrete question or as part of a set of questions called a data interpretation set. All of the questions are based on the same data presented in tables, graphs or other displays of data

**Tips for answering**

- Become familiar with the answer choices. Quantitative Comparison questions always have the same answer choices, so be careful

- Avoid unnecessary computations, Transform or estimate one or both of the given quantities only as much as is necessary to compare them

- Remember that geometric figures are not necessarily drawn to scale. If any aspect of a given figure is not fully determined, try to redraw the figure

- Plug in numbers, If one or both of the quantities are algebraic expressions, easy numbers can be substituted for the variables and compare the resulting quantities in your analysis. Consider all kinds of appropriate numbers before you give an answer for e.g. zero, positive, negative numbers, small and large numbers, fractions and decimals

- Simplify the comparison, If both quantities are algebraic or arithmetic expressions and you cannot easily see a relationship between them, simplify the comparison

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