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Test Data Analysis
DOMAIN 03 · 5–7 QUESTIONS (~15% OF EXAM)

Master SAT Data Analysis.
Statistics, rates & tables.

Problem-Solving & Data Analysis tests quantitative reasoning in science, social studies, and commerce. Master percent changes, two-way probability tables, standard deviation comparisons, and linear scatterplot fits.

Core Problem-Solving Subtopics

Click any topic to explore probability tables, percentage formulas, and sampling bias rules.

01

Ratios, Rates & Unit Conversions

Dimensional analysis, scale factors, proportional relationships, and converting complex units (e.g. m/s to miles/hr).

a / b = c / d
Study Ratios & Rates →
02

Percentages & Percent Change

Percent increase/decrease multipliers, original price reverse calculation, and successive percentage changes.

% Change = (New - Old)/Old × 100
Study Percentages →
03

Mean, Median & Standard Deviation

How outliers skew mean vs median, comparing spread with standard deviation, box plots, and frequency histograms.

Mean = Σx / n · Spread = SD
Study Statistics →
04

Two-Way Tables & Conditional Probability

Calculating conditional probability $P(A|B)$ by restricting the sample denominator to a specific row or column condition.

P(A|B) = P(A ∩ B) / P(B)
Study Two-Way Tables →
05

Scatterplots & Trend Lines

Interpreting slope and intercept of regression lines, predicting values, and comparing model estimates with actual data points.

ŷ = ax + b · Residual = y - ŷ
Study Scatterplots →
06

Margin of Error & Sample Studies

Understanding random sampling, generalizing to population vs cause-and-effect in controlled experiments, and error bounds.

Confidence Interval = Estimate ± MoE
Study Margin of Error →
DESMOS STATS HACK

Instant Linear & Exponential Regression with Tables

When an SAT question provides data points and asks for the line of best fit, enter the points into a Desmos table and type `y₁ ~ mx₁ + b`. Desmos calculates the exact slope `m` and intercept `b` instantly.

Explore Full Desmos Guide →
// Desmos Table Regression
y₁ ~ mx₁ + b
// Parameters Computed
m = 3.42, b = 18.75 (r² = 0.998)