🇬🇧 Graduate Record Examinations (GRE) · subject
Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy Syllabus
The Quantitative Reasoning: Data Analysis and Test Strategy syllabus for Graduate Record Examinations (GRE) in full: 4 chapters, 13 topics and 24 sub-topics, every one listed below, plus 51 Quantitative Reasoning: Data Analysis and Test Strategy flashcards with answers.
Quantitative Reasoning: Data Analysis and Test Strategy syllabus: all 4 chapters
Expand any chapter to see its topics and sub-topics.
-
Descriptive Statistics
3 topics- Measures of central tendency
- Mean, median and mode
- Weighted averages
- Measures of spread
- Range and interquartile range
- Standard deviation and variance
- Distributions
- Normal distribution and percentiles
- Quartiles and percentile ranks
- Measures of central tendency
-
Probability and Counting
3 topics- Basic probability rules
- Independent and dependent events
- Mutually exclusive events
- Complementary events
- Combinations and permutations
- Counting principle
- Order versus selection
- Sets and Venn diagrams
- Union, intersection and complement
- Overlapping group problems
- Basic probability rules
-
Data Interpretation
3 topics- Reading tables and graphs
- Bar, line and circle graphs
- Frequency distributions and boxplots
- Multi-question data sets
- Cross-referencing multiple displays
- Calculations from data displays
- Percentages and ratios from charts
- Reading tables and graphs
-
Question Formats and Strategy
4 topics- Quantitative comparison questions
- The four fixed answer choices
- Plugging in values strategy
- Multiple-choice and numeric entry
- Single and multiple answer formats
- Entering fractions and decimals
- Using the on-screen calculator
- When to calculate versus estimate
- Section-level test mechanics
- Section-adaptive design across two sections
- Mark-and-review and pacing
- Quantitative comparison questions
Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy flashcards — 51 questions with answers
What is the arithmetic mean of a data set, and what is its formula?
The mean is the average: the sum of all values divided by the count of values. For values $x_1, x_2, \dots, x_n$: $$\bar{x} = \frac{1}{n}\sum_{i=1}^{n} x_i$$
How do you find the median of a data set?
Order the values from least to greatest. With an odd count, the median is the middle value. With an even count $n$, it is the mean of the two middle values (positions $\frac{n}{2}$ and $\frac{n}{2}+1$).
What is the mode of a data set?
The value (or values) that occurs most frequently. A set can have no mode, one mode, or several modes (bimodal, multimodal).
When data is skewed, how do the mean and median compare?
In a right-skewed (positive) distribution the mean is pulled above the median; in a left-skewed (negative) distribution the mean is pulled below the median. The median resists outliers, the mean does not.
What is the range of a data set?
The difference between the greatest and least values: $$\text{range} = x_{\max} - x_{\min}$$ It measures spread but is highly sensitive to outliers.
How are the quartiles $Q_1$, $Q_2$, $Q_3$ defined, and what is the interquartile range?
$Q_1$ is the median of the lower half, $Q_2$ is the overall median, $Q_3$ is the median of the upper half. The interquartile range is $$\text{IQR} = Q_3 - Q_1$$ containing the middle 50% of the data.
What is the formula for the population standard deviation?
$$\sigma = \sqrt{\frac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^2}$$ It is the square root of the variance and measures typical distance from the mean.
How is variance related to standard deviation?
Variance is the square of the standard deviation: $\sigma^2$. It is the mean of the squared deviations from the mean. Standard deviation $\sigma = \sqrt{\sigma^2}$ returns to the original units.
If every value in a data set is increased by a constant $c$, how do the mean and standard deviation change?
The mean increases by $c$. The standard deviation is unchanged, because adding a constant shifts all values equally without changing their spread.
If every value in a data set is multiplied by a constant $k>0$, how do the mean and standard deviation change?
Both the mean and the standard deviation are multiplied by $k$: new mean $= k\bar{x}$, new standard deviation $= k\sigma$.
In a normal distribution, what percentages fall within 1, 2, and 3 standard deviations of the mean (the empirical rule)?
Approximately 68% within $\pm 1\sigma$, 95% within $\pm 2\sigma$, and 99.7% within $\pm 3\sigma$ of the mean.
In the GRE's standard normal model, what approximate percentages lie in each of the six half-standard-deviation bands used on the test?
Roughly 34% in each band within $1\sigma$ (about 34, 34), 14% in each band between $1\sigma$ and $2\sigma$, and 2% in each band between $2\sigma$ and $3\sigma$: about $2\%, 14\%, 34\%, 34\%, 14\%, 2\%$.
What are the key features of a normal distribution's shape?
It is symmetric and bell-shaped about its mean. The mean, median, and mode are all equal and located at the center.
What is a percentile, and what does the 75th percentile represent?
A percentile indicates the value below which a given percentage of data falls. The 75th percentile is the value at or below which 75% of the data lies; it equals $Q_3$.
How do you compute a standardized score (z-score) for a value $x$?
$$z = \frac{x - \mu}{\sigma}$$ It gives the number of standard deviations $x$ lies above (positive) or below (negative) the mean.
What is the probability of an event, expressed as a ratio?
For equally likely outcomes: $$P(E) = \frac{\text{number of favorable outcomes}}{\text{total number of outcomes}}$$ Probabilities satisfy $0 \leq P(E) \leq 1$.
What is the complement rule in probability?
The probability that an event does not occur is $$P(\text{not } E) = 1 - P(E)$$
State the addition rule for the probability of $A$ or $B$.
$$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ If $A$ and $B$ are mutually exclusive, $P(A \cap B)=0$, so $P(A \cup B) = P(A) + P(B)$.
State the multiplication rule for the probability of $A$ and $B$.
$$P(A \cap B) = P(A)\cdot P(B \mid A)$$ If $A$ and $B$ are independent, $P(B \mid A) = P(B)$, so $P(A \cap B) = P(A)\cdot P(B)$.
What does it mean for two events to be independent?
The occurrence of one does not affect the probability of the other: $P(B \mid A) = P(B)$, equivalently $P(A \cap B) = P(A)P(B)$.
Show the other 31 Quantitative Reasoning: Data Analysis and Test Strategy flashcards
What does it mean for two events to be mutually exclusive (disjoint)?
They cannot occur at the same time: $P(A \cap B) = 0$. Therefore $P(A \cup B) = P(A) + P(B)$.
What is the conditional probability of $A$ given $B$?
$$P(A \mid B) = \frac{P(A \cap B)}{P(B)}, \quad P(B) \neq 0$$
What is the formula for the number of permutations of $n$ distinct objects taken $r$ at a time?
$$P(n,r) = \frac{n!}{(n-r)!}$$ Use permutations when order matters.
What is the formula for the number of combinations of $n$ distinct objects taken $r$ at a time?
$$C(n,r) = \binom{n}{r} = \frac{n!}{r!\,(n-r)!}$$ Use combinations when order does not matter.
What is the key difference between a permutation and a combination?
Permutations count arrangements where order matters; combinations count selections where order does not matter. Always $P(n,r) \geq C(n,r)$ since $P(n,r) = C(n,r)\cdot r!$.
What does $n!$ (n factorial) mean, and what is $0!$?
$n! = n \times (n-1) \times \cdots \times 2 \times 1$, the product of all positive integers up to $n$. By definition $0! = 1$.
What is the fundamental counting principle?
If one task can be done in $m$ ways and a second independent task in $n$ ways, the two together can be done in $m \times n$ ways. This extends to any number of stages by multiplication.
How do you count the number of distinguishable arrangements of $n$ objects when some are identical?
Divide $n!$ by the factorials of the counts of each repeated item: $$\frac{n!}{n_1!\,n_2!\cdots n_k!}$$
What is a set, and what does the empty set denote?
A set is a collection of distinct objects (elements). The empty set, written $\varnothing$ or $\{\}$, contains no elements.
What is the union of two sets versus the intersection?
The union $A \cup B$ contains all elements in $A$, in $B$, or in both. The intersection $A \cap B$ contains only elements in both $A$ and $B$.
State the inclusion-exclusion formula for the size of the union of two sets.
$$|A \cup B| = |A| + |B| - |A \cap B|$$ Subtracting the intersection corrects for double-counting the overlap.
In a Venn diagram with two overlapping circles, what does the overlapping (central) region represent?
The intersection $A \cap B$ — the elements that belong to both sets simultaneously.
What is the complement of a set $A$ within a universal set $U$?
The complement $A^{c}$ (or $A'$) consists of all elements of $U$ that are not in $A$. Thus $|A^{c}| = |U| - |A|$.
What is a subset, and how is it written?
$A$ is a subset of $B$, written $A \subseteq B$, if every element of $A$ is also in $B$. The empty set is a subset of every set.
For the inclusion-exclusion of three sets, what is $|A \cup B \cup C|$?
$$|A \cup B \cup C| = |A|+|B|+|C| - |A\cap B| - |A\cap C| - |B\cap C| + |A\cap B\cap C|$$
When reading a table on the GRE, what should you check before extracting any value?
Read the title, row and column headers, and especially the units and any footnotes (e.g., "in thousands," "percent"). Misreading units is the most common error.
On a pie/circle graph, how do you convert a sector's percentage into the corresponding central angle?
Multiply the percentage (as a fraction of the whole) by 360 degrees: $$\text{angle} = \frac{\text{part}}{\text{whole}} \times 360^{\circ}$$
In a GRE Data Interpretation set, how should you treat the data shared across the multiple questions?
All questions in the set refer to the same display(s). Read the graphs/tables carefully once, note units and scales, and reuse that understanding; answer each question independently since one wrong reading can affect several.
How do you compute the percent change between an old value and a new value?
$$\text{percent change} = \frac{\text{new} - \text{old}}{\text{old}} \times 100\%$$ A positive result is an increase, a negative result is a decrease.
From a frequency table, how do you compute the mean of the data?
Multiply each value by its frequency, sum these products, and divide by the total frequency: $$\bar{x} = \frac{\sum f_i x_i}{\sum f_i}$$
On a bar graph, why must you read the vertical axis scale carefully before comparing bars?
Axes may not start at zero or may use nonstandard increments, which can exaggerate or hide differences. Always read the actual numeric scale rather than judging by bar height alone.
How do you find what percent one quantity is of another from a data display?
$$\text{percent} = \frac{\text{part}}{\text{whole}} \times 100\%$$ Identify which value is the part and which is the whole (the base) from the labels.
On a GRE Quantitative Comparison question, what are the four fixed answer choices?
(A) Quantity A is greater; (B) Quantity B is greater; (C) The two quantities are equal; (D) The relationship cannot be determined from the information given. These never change.
In Quantitative Comparison, when is choice (D) correct?
When the relationship between the quantities can change depending on allowable values (e.g., different signs or ranges of a variable). If even one case gives a different ordering, the answer is (D). Note: (D) is impossible if both quantities are purely numeric.
What is an effective strategy for Quantitative Comparison problems with variables?
Plug in strategic test values — try positive, negative, zero, fractions, and extremes. You may also add, subtract, multiply, or divide both quantities by the same positive amount to simplify, just as with an inequality.
What rule about inequalities must you respect when simplifying both quantities in a Quantitative Comparison?
You may add or subtract anything from both sides, and multiply or divide both by the same positive number, but multiplying or dividing by a negative number reverses the comparison — and you usually do not know a variable's sign, so avoid it.
What is the difference between multiple-choice (select one) and multiple-choice (select one or more) on the GRE Quant section?
Select-one has exactly one correct answer marked with ovals. Select-one-or-more uses square checkboxes and may have one, several, or all options correct; you must select every correct choice and no incorrect ones for credit.
How should you enter answers in a Numeric Entry question, including fractions?
Type the number directly into the box (with a separate box for numerator and denominator if it is a fraction). Fractions need not be reduced. Follow any rounding instruction given; if none, enter the exact value. Include a negative sign when required.
What functions does the GRE on-screen calculator provide, and what is a key limitation?
It performs addition, subtraction, multiplication, division, square root, plus/minus, and has memory keys and a Transfer Display feature. It is a basic four-function-plus-square-root tool: no exponents beyond squaring via multiplication, no parentheses precedence beyond simple use, so manage order of operations yourself.
What does the "Transfer Display" button on the GRE calculator do, and when is it useful?
It transfers the calculator's displayed result directly into a Numeric Entry answer box, reducing transcription errors. It is available only for Numeric Entry questions that accept the answer format.
What are the key mechanics of the GRE Quantitative Reasoning section (timing, navigation, scoring adaptivity)?
It has two sections of roughly 27 minutes each. Within a section you can skip, flag (Mark/Review), and return to questions before time expires. The test is section-level adaptive: performance on the first Quant section affects the difficulty of the second. There is no penalty for wrong answers, so answer every question.
Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy FAQ
What is in the Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy syllabus?
Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy is split into 4 chapters: Descriptive Statistics, Probability and Counting, Data Interpretation and Question Formats and Strategy. Together they contain 13 topics and 24 sub-topics.
How many chapters are in Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy?
4 chapters, containing 13 topics and 24 sub-topics. The largest chapter is Question Formats and Strategy, with 4 topics.
Are there flashcards for Graduate Record Examinations (GRE) Quantitative Reasoning: Data Analysis and Test Strategy?
Yes — a 51-card Quantitative Reasoning: Data Analysis and Test Strategy deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.