How is Statistics and Data Analysis tested on the SAT?

You compute and compare mean, median, and range, interpret standard deviation as spread, read graphs and tables, and reason about sampling and study design. Careful graph-reading matters as much as any calculation.

How do outliers affect the mean versus the median?

An outlier pulls the mean strongly toward it while the median barely moves, so the median often better represents a typical value when the data has an extreme point. Assuming the two move together is a common error.

What's the fastest way to improve at Statistics and Data Analysis?

Learn how each measure responds to an outlier, read every axis label and unit before interpreting a graph, and for study-design questions check whether the sample actually supports the conclusion.

SAT Math · Problem-Solving and Data Analysis

Statistics and Data Analysis

Statistics and Data Analysis questions ask you to summarize and interpret data using mean, median, range, and spread, and to read graphs like scatterplots and histograms. Much of it is conceptual: knowing how an outlier affects the mean versus the median, or what a larger standard deviation implies. Reading the graphic carefully is as important as any calculation.

Quick answer

Statistics and Data Analysis is a digital SAT Math skill covering mean, median, range, and spread, plus reading scatterplots, histograms, and two-way tables — with much of the reasoning being conceptual rather than computational.

What it tests

Computing and comparing mean, median, mode, and range
Understanding how outliers and added values shift the mean and median
Interpreting standard deviation as a measure of spread
Reading scatterplots, histograms, box plots, and two-way tables
Drawing conclusions and understanding limits of sampling and study design

Common mistakes

Assuming the mean and median move together, when outliers pull the mean far more
Miscounting frequencies in a histogram or dot plot
Confusing a larger standard deviation with a larger mean
Overgeneralizing from a sample that wasn't randomly selected

How to improve

Learn how each measure responds to an outlier: the mean shifts, the median resists
Read every axis label and unit before interpreting a graph
Treat standard deviation as spread, not center — bigger means more spread out
For study-design questions, check whether the sample supports the conclusion
Use the calculator for mean, but reason about median and spread conceptually

Worked example

A data set is 4, 5, 6, 7, and 100. Is the mean or the median a better measure of the typical value, and why?

The median is 6, but the mean is (4+5+6+7+100)/5 = 24.4. The single outlier, 100, drags the mean far above every other value, so the median (6) better represents the typical value. Outliers move the mean much more than the median.

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Related SAT Math skills

AlgebraLinear Equations and Systems AlgebraLinear Functions and Inequalities Advanced MathEquivalent Expressions Advanced MathQuadratics and Nonlinear Functions

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Frequently asked questions

How is Statistics and Data Analysis tested on the SAT?: You compute and compare mean, median, and range, interpret standard deviation as spread, read graphs and tables, and reason about sampling and study design. Careful graph-reading matters as much as any calculation.
How do outliers affect the mean versus the median?: An outlier pulls the mean strongly toward it while the median barely moves, so the median often better represents a typical value when the data has an extreme point. Assuming the two move together is a common error.
What's the fastest way to improve at Statistics and Data Analysis?: Learn how each measure responds to an outlier, read every axis label and unit before interpreting a graph, and for study-design questions check whether the sample actually supports the conclusion.