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Graduate Management Admission Test (GMAT) Data Insights Syllabus
The Data Insights syllabus for Graduate Management Admission Test (GMAT) in full: 5 chapters, 15 topics and 17 sub-topics, every one listed below, plus 50 Data Insights flashcards with answers.
Data Insights syllabus: all 5 chapters
Expand any chapter to see its topics and sub-topics.
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Data Sufficiency
3 topics- Data Sufficiency Mechanics
- The five fixed answer choices
- Sufficiency vs solving for a value
- Value vs Yes/No Questions
- Determining a unique value
- Definitive yes or no determination
- Statement Evaluation Process
- Evaluating statements independently first
- Avoiding the carry-over trap
- Combining statements only when needed
- Data Sufficiency Mechanics
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Multi-Source Reasoning
3 topics- Navigating Tabbed Sources
- Synthesising text, tables and charts across tabs
- Inference Across Sources
- Cross-referencing data points
- Yes/No and Multiple-Choice Formats
- Navigating Tabbed Sources
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Table Analysis
3 topics- Sorting and Filtering Data
- Using the sortable column feature
- Statistical Reading of Tables
- Identifying medians, ranges and outliers
- True/False Statement Evaluation
- Sorting and Filtering Data
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Graphics Interpretation
3 topics- Reading Chart Types
- Scatter plots and trend lines
- Bar, line and pie charts
- Bubble and stacked graphs
- Drop-down Completion Format
- Selecting values to complete statements
- Estimation from Visual Data
- Reading Chart Types
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Two-Part Analysis
3 topics- Quantitative Two-Part Problems
- Solving paired equations or constraints
- Verbal Two-Part Problems
- Trade-off and conditional reasoning
- Column-Based Answer Selection
- Quantitative Two-Part Problems
Graduate Management Admission Test (GMAT) Data Insights flashcards โ 50 questions with answers
In GMAT Data Insights Data Sufficiency, what are the five fixed answer choices and what does each mean?
(A) Statement (1) ALONE is sufficient, but (2) alone is not; (B) Statement (2) ALONE is sufficient, but (1) alone is not; (C) BOTH together are sufficient, but NEITHER alone is sufficient; (D) EACH statement ALONE is sufficient; (E) Together they are still NOT sufficient (more data needed).
What is the core task in a Data Sufficiency question (as opposed to Problem Solving)?
You do not need to compute the actual answer. You only decide whether the given statements provide ENOUGH information to answer the question uniquely. Determine sufficiency, not the value itself.
Describe the recommended order for evaluating the two statements in Data Sufficiency.
Evaluate Statement (1) alone first (ignoring (2)). Then evaluate Statement (2) alone (ignoring (1)). Only if neither alone is sufficient do you combine them. This avoids carrying information illegitimately between statements.
In Data Sufficiency, what is the difference between a 'Value' question and a 'Yes/No' question?
A Value question asks for a specific quantity (e.g., 'What is $x$?') and is sufficient only when a single unique value is forced. A Yes/No question asks whether a condition holds and is sufficient when the answer is a definite 'always yes' OR a definite 'always no'.
For a Data Sufficiency Value question, when is a statement sufficient?
It is sufficient if and only if it pins down exactly one possible value. If two or more different values remain consistent with the statement, it is NOT sufficient.
For a Yes/No Data Sufficiency question, why is a consistent 'No' just as sufficient as a consistent 'Yes'?
Sufficiency means the question can be answered definitively. A statement that always yields 'No' answers the question just as fully as one that always yields 'Yes'. Insufficiency occurs only when the answer could be both yes and no (sometimes yes, sometimes no).
In Yes/No Data Sufficiency, what makes a statement INSUFFICIENT?
The statement is insufficient if it permits at least one case answering 'Yes' and at least one case answering 'No' โ i.e., the answer is not uniquely determined.
What common trap does the answer choice (C) represent in Data Sufficiency, and how do you avoid choosing it incorrectly?
(C) means both statements are needed together and neither works alone. The trap is picking (C) when one statement actually suffices alone (answer should be (A), (B), or (D)). Always fully test each statement in isolation before combining.
In Data Sufficiency, what does selecting answer (E) imply about combining the statements?
(E) means that even using both statements together, the question still cannot be answered uniquely โ additional information beyond both statements would be required.
When testing a Data Sufficiency statement, why is it useful to try to find two contradictory cases?
If you can find two valid scenarios that satisfy the statement but give different answers (different values, or one yes and one no), you have proven insufficiency. Finding only one consistent answer across all valid cases proves sufficiency.
In the Multi-Source Reasoning (Navigating Tabbed Sources) question type, how is information presented?
Information is split across two or three tabbed pages (e.g., emails, tables, charts, text). You click between tabs to gather data, then answer questions that often require synthesizing information from more than one tab.
What is the most important reading strategy for Multi-Source Reasoning tabbed prompts?
Do not memorize every detail upfront. Skim each tab to learn what kind of information it holds, then return to specific tabs as each question demands. Let the questions drive which tab(s) you read in depth.
In Multi-Source Reasoning, what does an 'Inference Across Sources' question require you to do?
Combine facts located in different tabs to draw a conclusion that no single source states explicitly. You must cross-reference data and apply logical reasoning rather than locating a single stated fact.
What two answer formats appear in Multi-Source Reasoning, and how does each work?
(1) Standard five-option multiple choice (pick one). (2) A three-statement table where each row is judged independently, typically as Yes/No, True/False, or 'Inferable/Not inferable' โ all three rows must be correct for credit.
In a Multi-Source Reasoning Yes/No (three-statement) question, how is partial credit awarded?
There is no partial credit. You must correctly classify all three statements (e.g., all three Yes/No judgments) to earn the point.
In the Table Analysis question type, what interactive feature is central to answering, and how do you use it?
A sortable table: you can sort by any column (ascending/descending) using a drop-down. Sorting groups or orders rows so you can quickly find maxima, minima, medians, or filter patterns relevant to the question.
How does sorting a column help answer Table Analysis questions about extremes or order statistics?
Sorting ascending puts the smallest at top and largest at bottom (and vice versa), making the minimum, maximum, and the middle (median) value immediately visible without scanning all rows manually.
In Table Analysis, how do you find the median of a column with $n$ entries after sorting?
Sort the column. If $n$ is odd, the median is the middle entry at position $\frac{n+1}{2}$. If $n$ is even, the median is the average of the two middle entries at positions $\frac{n}{2}$ and $\frac{n}{2}+1$.
In Table Analysis statements judged True/False, what proves a statement FALSE?
A single counterexample row in the table that violates the claim makes the statement False. A statement is True only if it holds for every relevant row the claim covers.
What statistical measures should you be ready to read or compute from a Table Analysis dataset?
Mean (average), median, mode, range, and proportions/percentages, plus relationships like correlation direction between two columns. You may also need to count rows meeting a condition.
Show the other 30 Data Insights flashcards
How do you compute the mean of a data column with values $x_1,\dots,x_n$?
$$\bar{x}=\frac{1}{n}\sum_{i=1}^{n} x_i = \frac{x_1+x_2+\cdots+x_n}{n}$$
In Table Analysis, how is the range of a numeric column defined?
The range is the difference between the largest and smallest values: $\text{range} = x_{\max} - x_{\min}$. Sorting the column makes both endpoints easy to read.
In Graphics Interpretation (Reading Chart Types), how are answers typically entered?
Through drop-down menus embedded in sentences. You complete each blank by selecting the option (number, word, or phrase) that the graph supports, usually filling two drop-downs per question.
What is a scatter plot best used to reveal in Graphics Interpretation, and what does the trend/regression line indicate?
A scatter plot shows the relationship (correlation) between two variables. The trend line indicates direction: an upward slope = positive correlation, downward slope = negative correlation, flat/no pattern = little or no correlation.
How do you read a value from a line graph or scatter plot using its trend line for estimation?
Locate the $x$-value on the horizontal axis, move vertically to the line, then read horizontally to the $y$-axis. For points between gridlines, estimate (interpolate) proportionally between the nearest labeled values.
What does each part of a pie chart represent, and how do you convert a slice to an actual amount?
Each slice's angle/area represents a percentage share of the whole (all slices sum to $100\%$). Convert to an amount with $\text{slice value} = \text{percentage} \times \text{total}$, e.g., $25\%$ of a $200$ total $= 50$.
In a bar chart used in Graphics Interpretation, how do you compare two categories or read a stacked bar?
Compare bar heights against the axis scale for individual values. In a stacked bar, each segment's length is that subgroup's value, and the full bar height is the total โ read segment boundaries against the axis.
What does the slope of a line on a Graphics Interpretation line graph represent?
The slope is the rate of change of $y$ with respect to $x$: $$\text{slope}=\frac{\Delta y}{\Delta x}=\frac{y_2-y_1}{x_2-x_1}.$$ A steeper line means a faster rate of change.
In Graphics Interpretation, why is estimation usually acceptable rather than exact calculation?
Drop-down options are typically spaced far enough apart that an approximate reading from the graph uniquely identifies the correct choice. Reading to the nearest reasonable gridline is generally sufficient.
When estimating from visual data, how should you handle a point that falls between two axis gridlines?
Interpolate: judge how far the point lies between the two gridlines (e.g., about a third of the way) and adjust the value accordingly, rather than rounding to the nearest gridline blindly.
What is the Two-Part Analysis question format, and how do you record an answer?
A prompt is followed by a table with two answer columns and a shared list of options in rows. You select exactly one option in each column (one per column), so the two answers may be the same row or different rows.
In Two-Part Analysis, can the same answer option be selected for both columns?
Yes โ unless the question explicitly forbids it. The two columns are answered independently, so the same row can satisfy both columns if it fits both conditions.
What distinguishes a Quantitative Two-Part Analysis problem, and what is a typical column setup?
It involves numerical/algebraic relationships. Columns often ask for two related quantities, e.g., the value of one variable in column 1 and another in column 2, that must jointly satisfy a system of equations or constraints.
A common Quantitative Two-Part task gives two conditions to satisfy simultaneously. What is the efficient strategy?
Translate the conditions into equations, then test the option list. Find the one option per column such that both columns together satisfy all conditions โ often by substituting candidate pairs rather than solving symbolically.
What distinguishes a Verbal Two-Part Analysis problem from a quantitative one?
It is based on a reading passage or argument. The two columns ask for verbal relationships โ e.g., a claim and a counterclaim, a strengthener and a weakener, or two roles two statements play in the argument.
In a Verbal Two-Part Analysis asking for a 'statement that supports' and a 'statement that opposes' a position, how do you select?
Read each option against the stated position: choose for the support column the option most consistent with/strengthening the position, and for the oppose column the option most inconsistent with/weakening it. Each column gets exactly one option.
Across all Data Insights question types, what reasoning skill is being tested overall?
The ability to analyze and synthesize data presented in multiple formats โ tables, graphs, text, and numbers โ and to combine quantitative and verbal reasoning to make decisions, mirroring real business data analysis.
What are the five question types that make up the GMAT Data Insights section?
Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation, and Two-Part Analysis.
How do you convert a part-to-whole relationship into a percentage when reading Data Insights tables or charts?
$$\text{percentage}=\frac{\text{part}}{\text{whole}}\times 100\%.$$ For example, $30$ out of $120$ is $\frac{30}{120}\times100\%=25\%$.
How do you compute a percent change between an old value and a new value in a Data Insights problem?
$$\text{percent change}=\frac{\text{new}-\text{old}}{\text{old}}\times100\%.$$ A positive result is an increase; a negative result is a decrease.
In Data Sufficiency with variables, why is plugging in multiple numbers a reliable test of insufficiency?
If different valid number choices that satisfy the statement produce different answers to the question, the statement cannot determine a unique answer โ directly demonstrating insufficiency without algebra.
In Table Analysis, how can sorting help you quickly verify a statement like 'more than half the entries exceed value $V$'?
Sort the relevant column descending, then count from the top how many entries exceed $V$. Compare that count to $\frac{n}{2}$; if it exceeds half of $n$, the statement is True.
What is the key difference between correlation and causation when interpreting a Data Insights scatter plot?
Correlation means two variables move together (positively or negatively); causation means one causes the other. A scatter plot can show correlation but never proves causation โ beware of inference questions assuming cause.
In Multi-Source Reasoning, how should you treat numerical data spread across a table tab and a text tab?
Use the text tab for definitions, rules, or context (e.g., formulas, conditions) and the table tab for the raw numbers, then apply the text's rules to the table's values to compute or judge the answer.
For a Graphics Interpretation drop-down that asks to complete 'The variable $y$ is approximately ___ when $x=5$', what is your method?
Find $x=5$ on the horizontal axis, trace up to the curve/line, read across to the $y$-axis, then pick the drop-down option closest to that read value (estimating between gridlines if needed).
In Two-Part Analysis quantitative problems, why is back-solving from the option list often faster than solving algebraically?
Because the answer must be one of the listed options for each column, substituting candidate values into the conditions quickly confirms or eliminates pairs โ avoiding lengthy symbolic manipulation under time pressure.
What does it mean for a Data Sufficiency statement to be sufficient by 'forcing a unique scenario' in a Yes/No question?
Although several specific cases may satisfy the statement, they all yield the same yes-or-no answer. Uniqueness of the answer (not of the underlying values) is what determines sufficiency in Yes/No questions.
In Table Analysis, how do you interpret a statement framed as 'For each row where A holds, B also holds' (a conditional True/False claim)?
Filter/sort to isolate rows where condition A is true, then check whether B holds in every such row. If even one A-row fails B, the statement is False; if all A-rows satisfy B, it is True.
When a Graphics Interpretation chart has two vertical axes (a dual-axis combo chart), how do you read each series correctly?
Match each data series to its own axis: read line/bar values for one series against the left axis and the other series against the right axis. Misreading a series against the wrong axis is a common error.
What overarching time-management principle applies to the Data Insights section's mixed question types?
Each question can require heavy reading or interactive sorting, so budget time per question, skim sources strategically, answer what the question specifically asks, and avoid over-analyzing data you do not need.
Graduate Management Admission Test (GMAT) Data Insights FAQ
What is in the Graduate Management Admission Test (GMAT) Data Insights syllabus?
Graduate Management Admission Test (GMAT) Data Insights is split into 5 chapters: Data Sufficiency, Multi-Source Reasoning, Table Analysis, Graphics Interpretation and Two-Part Analysis. Together they contain 15 topics and 17 sub-topics.
How many chapters are in Graduate Management Admission Test (GMAT) Data Insights?
5 chapters, containing 15 topics and 17 sub-topics. The largest chapter is Data Sufficiency, with 3 topics.
Are there flashcards for Graduate Management Admission Test (GMAT) Data Insights?
Yes โ a 50-card Data Insights 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.