AP Statistics · Unit 1 · Topic 1.9

Comparing Distributions Study Lab

To compare two distributions of a quantitative variable, address shape, outliers, center, and spread (SOCS) and use comparison words like "greater than" or "less variable than." Pick two groups, shift and stretch one of them, and read a full comparison written in context.

1. Compare two groups

Both graphs use the same scale, so you can compare them directly.

Preset comparisons

Side-by-side dotplots

Parallel boxplots modified, outliers as points

Group AGroup B
Change group B
Adds the same amount to every value.
Pushes values away from (or toward) the mean.
0 = off, 1–3 = farther and farther out.

The comparison, in context

Judge the comparison

Each statement compares the two groups from the first preset. Is it a complete, correct comparison? Decide, then read why.

2. Key ideas

SOCS

Four features, every time

Describe shape, outliers, center, and spread for both groups. Missing any one of them is the most common way to lose credit on a comparison question.

Compare

Use comparison words

"Group A's median is 7 hours and group B's median is 6 hours" is a list. "The median for group A (7 hours) is greater than the median for group B (6 hours)" is a comparison. AP requires the comparison.

Context

Name the variable

Always say what is being measured and in what units: "sleep per night (hours) for 9th graders," not just "group A's data."

Same scale

Graph on one axis

Comparative dotplots, parallel boxplots, back-to-back stemplots, and stacked histograms with a common scale let you see differences in center and spread at a glance.

Matching pairs

Pick consistent statistics

If either group is skewed or has outliers, compare medians and IQRs. If both are roughly symmetric with no outliers, means and standard deviations work.

Overlap

Different but overlapping

A higher center does not mean every value is higher. Note how much the two distributions overlap; it tells you how consistent the difference is.

3. Weak vs. strong comparisons

Turn each weak sentence into one that would earn full credit.

FeatureWeak (no credit)Strong (credit)
Shape"Both are skewed.""The distribution of commute times for city workers is skewed right, while the distribution for suburban workers is roughly symmetric."
Outliers"There is an outlier.""City workers have one high outlier at 70 minutes; suburban workers have no outliers."
Center"A's median is 22 and B's median is 30.""The median commute for suburban workers (30 min) is greater than the median for city workers (22 min)."
Spread"A is more spread.""Commute times for city workers are more variable (IQR = 15 min) than for suburban workers (IQR = 8 min)."
Overall"B is bigger.""Suburban workers typically have longer, more consistent commutes, although the two distributions overlap a lot."

4. On the FRQ

How to earn the points

  • Address all four features: shape, outliers (or the lack of them), center, and spread.
  • Make every center and spread statement explicitly comparative: "greater than," "less than," "about the same as," "more variable than."
  • Give the values you are comparing, with units, so the reader can check your claim.
  • Put the comparison in context: name both groups and the variable.
  • If asked which group is "better" or "more consistent," answer the question directly and support it with a specific statistic.

Common mistakes

  • Listing two medians side by side without saying which is larger.
  • Comparing the median of one group with the mean of the other.
  • Saying "the range is bigger so it has more data." Spread is about how far apart values are, not how many there are.
  • Describing only one group's shape, or saying "it is skewed" without saying which direction.
  • Claiming every value in one group is larger just because its median is larger.

5. Practice questions

AP-style multiple choice. Pick an answer to see the explanation.

0 / 0 correct

6. Key terms

The vocabulary for topic 1.9. Read the list, flip through flashcards, or quiz yourself. For every term in the unit, see the Unit 1 terminology guide.