This page maps the content of GRE Quantitative Reasoning to the Brilliant lessons that teach it. ETS organizes the measure into four content areas — arithmetic, algebra, geometry, and data analysis — and the topics within those areas are the rows below. Search by topic or skill to find the closest match. A topic is listed only where Brilliant content fully or in part addresses it directly.
The GRE tests no trigonometry, no calculus, and no formal proof. What it does test, it tests at a level most test-takers last studied years earlier, which is why the arithmetic topics below matter as much as the algebra ones.
ETS does not publish reference codes for these topics, so the codes shown here (ARI.1, ALG.4, and so on) are Brilliant's own shorthand: the content area's abbreviation followed by the topic's position in ETS's ordering of that area.
Part 1 — Arithmetic
Part 2 — Algebra
Part 3 — Geometry
| GRE topic | What the topic asks | Brilliant targeted skill |
|---|---|---|
| GEO.1 | Lines and Angles. Lines, line segments, endpoints, congruent segments, and midpoints; the four angles formed by two intersecting lines and the equality of opposite (vertical) angles; angle notation and measurement in degrees; right, acute, obtuse, and straight angles and perpendicular lines; parallel lines; and the angle relationships formed when a transversal crosses two parallel lines. | Geometry and Measurement — Compare angle measures in a diagram, Find unknown angles around a point or on a line, Find unknown angles made by lines and in triangles, Write an equation relating labeled angles |
| GEO.2 | Polygons. Polygon, sides, and vertices, with "polygon" meaning convex polygon throughout; dividing an n-sided polygon into n − 2 triangles and the resulting interior-angle sum (n − 2)(180°); regular polygons and the measure of each of their angles; and the perimeter and the area of a polygon. |
Geometry and Measurement — Find a regular polygon's exterior and interior angles, Find and compare perimeters of figures, Find the interior angle sum of a polygon; Coordinate Geometry — Finding compound shape area, Writing area expressions with variables |
| GEO.3 | Triangles. Three sides and three interior angles summing to 180°; the triangle inequality; the three special triangles ETS names — equilateral, isosceles (with the equal-angles-opposite-equal-sides relation and its converse), and right, with hypotenuse and legs; the Pythagorean theorem and its use to find a missing side; the 45°-45°-90° and 30°-60°-90° triangles and their side ratios; the area formula A = ½bh with base and height; and congruent and similar triangles, including corresponding parts and the proportionality of corresponding sides. |
Coordinate Geometry — Applying the Pythagorean theorem to areas, Calculating right triangle area, Finding side lengths with the Pythagorean theorem; Geometry and Measurement — Find the scale factor and unknown lengths, Match corresponding angles in similar shapes, Relate areas of similar shapes using scale factor |
| GEO.4 | Quadrilaterals. Four sides and four interior angles summing to 360°; the four special types ETS names — rectangle (four right angles, opposite sides parallel and congruent, congruent diagonals), square (a rectangle with four congruent sides), parallelogram (both pairs of opposite sides parallel, with opposite sides and opposite angles congruent), and trapezoid (at least one pair of parallel sides, called the bases) — and the area formulas for each, including the trapezoid's A = ½(b₁ + b₂)h. |
Coordinate Geometry — Calculating rectangle area |
| GEO.5 | Circles. Center, radius, diameter, chord, and congruent circles; circumference, π as the constant ratio of circumference to diameter, and C = 2πr; arcs, including the length of an arc as the corresponding fraction of the circumference; the area A = πr²; sectors, whose area is the same fraction of the circle's area as the arc's degree measure is of 360°; tangent lines and their perpendicularity to the radius at the point of tangency; central angles and inscribed angles; and polygons inscribed in and circumscribed about circles. |
Geometry and Measurement — Find circumference from radius or diameter |
| GEO.6 | Three-Dimensional Figures. The basic solids ETS names — rectangular solids, cubes, cylinders, spheres, pyramids, and cones — with detailed treatment of the rectangular solid (six rectangular faces, 12 edges, 8 vertices; length, width, height; volume V = ℓwh; surface area as the sum of the six faces) and the right circular cylinder (two congruent parallel circular bases, the axis, the height, the volume V = πr²h, and the surface area as the two bases plus the lateral surface). |
Geometry and Measurement — Compare volumes by slicing and rearranging, Find surface area by adding face areas, Find surface area from base area and perimeter, Find volume as area of the base times height, Use the one-third relationship for pyramids and cones |
Part 4 — Data Analysis
| GRE topic | What the topic asks | Brilliant targeted skill |
|---|---|---|
| DAT.1 | Methods for Presenting Data. Quantitative and categorical variables and the distribution of a variable; frequency, frequency distributions, relative frequency, and relative frequency distributions; tables as a presentation method; and the graphical methods ETS reviews — bar graphs, segmented bar graphs, histograms, circle (pie) graphs, scatterplots, and line graphs — including reading values and trends off each. | Regression — Choosing the best predictor, Detecting hidden groups in data, Predicting from a regression line, Reading correlation from a scatter plot, Spotting nonlinear relationships; Exploring Data Visually — Choosing the right chart, Describe the relationship in a scatter plot, Describing how two things relate, Find frequencies and percentiles from a histogram, Find percents of a whole from a pie chart, Group a data table to summarize categories, Identify and extend a trend on a line graph, Judging how strongly things relate, Read and compare bars on a bar chart, Read coordinates of points on a scatter plot, Reading and comparing bar charts, Reading histograms, Reading line graphs, Reading pie charts, Reading scatter plots, Spotting trends over time |
| DAT.2 | Numerical Methods for Describing Data. Statistics grouped as measures of central tendency, position, and dispersion: the arithmetic mean (including weighted means), median, and mode; quartiles (Q₁, Q₂ = the median, Q₃) and percentiles, and the boxplot that displays them; and the range, the interquartile range Q₃ − Q₁, and the standard deviation, computed from each value's deviation from the mean, together with outliers and the standardization of a data value in standard-deviation units. |
Everyday Statistics — Combining groups to find the mean, Comparing data sets with box plots, Comparing mean, median, and mode, Finding quartiles, Finding the mean (the average) of a data set, Finding the mean of uneven data, Finding the median, Finding totals from the mean, Matching data to box plots, Predicting how new data shifts the mean, Reading box plots, Seeing how outliers affect the mean, Splitting data into quarters, Spotting outliers, Updating the mean with new data, Updating the median with new data, Using the outlier rule; Exploring Data Visually — Compare boxplots across datasets, Read median, quartiles, and extremes from a boxplot |
| DAT.3 | Counting Methods. Sets and lists, members and elements, finite and infinite sets, subsets, the empty set, and set size notation; intersection, union, disjoint (mutually exclusive) sets, the inclusion-exclusion principle, and Venn diagrams for two or three sets; the multiplication principle for independent successive choices; permutations and factorial notation, including permutations of k objects from n; and combinations, with the number of k-element subsets of an n-element set. | Probability and Chance — Counting outcomes across overlapping events, Counting possible outcomes, Using Venn diagrams |
| DAT.4 | Probability. Probability experiments, outcomes, sample spaces, and events; probability as a number from 0 to 1 with the probabilities of all outcomes summing to 1; the probability of an event under equally likely outcomes as a ratio of counts; the events "E and F" and "E or F"; mutually exclusive events; and the three rules — inclusion-exclusion for P(E or F), its simplification when E and F are mutually exclusive, and P(E and F) = P(E)P(F) when E and F are independent, together with the fact that two events of positive probability cannot be both mutually exclusive and independent. |
Probability in Data — Adding probabilities of separate outcomes, Combining probabilities across cases, Combining probabilities with a formula, Estimating probabilities from past data, Finding conditional probabilities from data, Finding probabilities of multi-step outcomes, Finding probability of two related events, Identifying when events affect each other, Judging how often a rule fails; Probability and Chance — Calculating probability, Changing probability by removing options, Comparing the likelihood of outcomes, Finding probability given a condition, Finding probability of two unrelated events, Finding the probability of both events, Finding the probability of either event, Finding the probability something won't happen; Predicting with Probability — Combining cases into one probability |
| DAT.5 | Distributions of Data, Random Variables, and Probability Distributions. Distributions of data shown as relative frequency histograms, with the mean, median, and standard deviation located on the picture; random variables as variables whose values depend on chance; the link that a random variable's probability distribution is the same as the relative frequency distribution of the data; the mean of a random variable, also called its expected value, computed as a probability-weighted sum; continuous probability distributions and density curves; and the normal distribution — bell-shaped, with mean, median, and mode nearly equal, symmetric grouping about the mean, about two-thirds of the data within one standard deviation and almost all within two. | Predicting with Probability — Adding up probabilities to a threshold, Reading a probability plot; Probability and Chance — Calculating expected value, Calculating expected value for multiple events, Comparing expected values |
| DAT.6 | Data Interpretation. Answering multi-part questions against a single data presentation: reading exact and approximate values out of a table or graph, combining them with percent, ratio, and descriptive-statistics reasoning, computing changes and percent changes across categories or years, and evaluating whether given statements about the presentation are true. | Exploring Data Visually — Create a new column from existing columns, Creating new data columns, Filter a data table with conditions |
How this page is built
Every skill in the Brilliant math courses that reach the level the GRE tests is mapped to the single topic it aligns with most closely, using ETS's published content specification for the Quantitative Reasoning measure of the GRE General Test, together with its Math Review as the authority for what each topic requires and where its boundaries fall. Skills that build toward a topic without teaching its stated content are excluded, so a skill appears here only where it addresses the topic directly.
Each skill links to a lesson where it is practised, and hovering a skill shows the description learners see for it. This page is regenerated from the mapping, so it reflects the current state rather than a fixed snapshot.