Data analysis questions on the SAT are some of the easiest points available — if you know what to look for. Here are 5 tips to speed through them.

Tip 1: Read the Axes Before the Data

Before looking at any data point, read:

  1. The title of the graph
  2. The x-axis label and units
  3. The y-axis label and units
  4. The scale (is it in thousands? percentages? logarithmic?)

80% of data analysis errors come from misreading the scale or units.

Tip 2: The Median Is the Middle, Not the Average

For a dataset of values (sorted):

The SAT loves putting the mean and median close together and asking which is which. Remember: the median is resistant to outliers, the mean is not.

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Tip 3: Standard Deviation Without Calculating

The SAT never asks you to compute standard deviation. Instead, it asks you to compare them.

Higher spread = higher standard deviation. Compare two datasets visually:

If the data points are clustered tightly around the mean, SD is small. If they are spread out, SD is large.

For scatterplots, ask three questions:

  1. Direction: Points go up-right (positive) or down-right (negative)?
  2. Strength: Points close to a line (strong) or scattered (weak)?
  3. Form: Linear or curved?

The SAT answer choices usually differ on direction or form, so you rarely need precision.

Tip 5: Watch for Misleading Graphs

The SAT sometimes presents graphs with:

Always check: does the visual impression match the actual numbers?

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SAT Pro Tip

Data analysis questions are almost always in the first half of each module (easier questions). They are free points if you read carefully. Never rush through them — a 30-second careful read beats a 10-second glance that leads to the wrong answer.

Sharpen your data skills with our Data Analysis lessons featuring real SAT-style practice.