GMAT · GMAT

GMAT Data Insights

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?
Multi-Source Reasoning, Table Analysis, and Graphics Interpretation.
How much time should you allocate per question on the Data Insights section?
Approximately 2.5 to 3 minutes per question.
Does GMAT Data Insights primarily test reading comprehension or quantitative analysis?
Both; it integrates data literacy with quantitative reasoning, not pure reading or pure math.
In a dataset, what does the median represent?
The middle value when all data points are arranged in order.
What is the key difference between mean and median?
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?
How spread out or dispersed the data points are from the mean.
What is the formula for percentage change?
((New Value - Old Value) / Old Value) x 100.
What does a positive correlation between two variables mean?
As one variable increases, the other tends to increase as well.
What is the fundamental difference between correlation and causation?
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)?
The average annual growth rate of an investment or metric over multiple years, accounting for compounding.
How do you simplify a ratio?
Divide both sides by their greatest common divisor (GCD).
What does a weighted average account for?
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?
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?
Comparisons of values across different categories, typically using the height or length of bars.
When is a line graph most appropriate to use?
When displaying how a value changes over time or along a continuous range.

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