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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