Multi-source reasoning, table analysis, and graphics interpretation question types tested on the GMAT Data Insights section.
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- What are the three question types in the GMAT Data Insights section?
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Multi-Source Reasoning, Table Analysis, and Graphics Interpretation.- How much time should you allocate per question on the Data Insights section?
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Approximately 2.5 to 3 minutes per question.- Does GMAT Data Insights primarily test reading comprehension or quantitative analysis?
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Both; it integrates data literacy with quantitative reasoning, not pure reading or pure math.- In a dataset, what does the median represent?
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The middle value when all data points are arranged in order.- What is the key difference between mean and median?
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The mean is the average of all values; the median is the middle value. Mean is affected by outliers, median is not.- What does standard deviation measure?
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How spread out or dispersed the data points are from the mean.- What is the formula for percentage change?
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((New Value - Old Value) / Old Value) x 100.- What does a positive correlation between two variables mean?
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As one variable increases, the other tends to increase as well.- What is the fundamental difference between correlation and causation?
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Correlation describes a relationship between variables; causation means one variable directly causes changes in another. Correlation does not imply causation.- What is compound annual growth rate (CAGR)?
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The average annual growth rate of an investment or metric over multiple years, accounting for compounding.- How do you simplify a ratio?
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Divide both sides by their greatest common divisor (GCD).- What does a weighted average account for?
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The relative importance or frequency of each value by assigning different weights to different data points.- What is the difference between absolute change and percent change?
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Absolute change is the raw difference in units. Percent change expresses that difference relative to the original value as a percentage.- What does a bar chart primarily display?
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Comparisons of values across different categories, typically using the height or length of bars.- When is a line graph most appropriate to use?
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When displaying how a value changes over time or along a continuous range.
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