AP Statistics 1.9: Comparing Quantitative Graphs
Compare quantitative distributions by matching each graph’s visible features—center, variability, shape, clusters, gaps, and outliers—to the context.
- Syllabus
- Effective Fall 2025
- Course
- AP Statistics
Compare quantitative distributions by matching each graph’s visible features—center, variability, shape, clusters, gaps, and outliers—to the context.
The manager of an automotive company is interested in comparing the gas mileages for cars
manufactured in Country A and cars manufactured in Country B. The manager selected a
random sample of 100 cars manufactured in Country A and a random sample of 100 cars
manufactured in Country B. The gas mileages for each sample, in miles per gallon (mpg), are
summarized in the boxplots.

Boxplots of Gas Mileage for Each Country
Compare the distributions of gas mileage for the sample of cars manufactured in Country A
and the sample of cars manufactured in Country B.
| Model Solution | Scoring | |
|---|---|---|
| A | The distribution of gas mileage for the sample of cars manufactured in Country A has a lower center than the distribution of gas mileage for the sample of cars manufactured in Country B. The median gas mileage for the sample of cars manufactured in Country A (18 mpg) is less than the median gas mileage for the sample of cars manufactured in Country B (32 mpg).<br>The range of the gas mileages for the sample of cars manufactured in Country A (24 mpg) is slightly greater than the range of the gas mileages for the sample of cars manufactured in Country B (22 mpg). However, the IQR of the gas mileages for the sample of cars manufactured in Country A (8 mpg) is less than the IQR of the gas mileages for the sample of the cars manufactured in Country B (12 mpg).<br>The car manufactured in Country A with 38 mpg (the maximum of the sample of cars manufactured in Country A) is an outlier, while the distribution of gas mileage for the sample of cars manufactured in Country B has no outliers. | Essentially correct (E) if the response satisfies at least three of the following four components: 1. Directly compares the center for the two distributions 2. Directly compares the spread (either IQR or range) for the two distributions 3. Indicates that the gas mileage of one of the cars manufactured in Country A is an outlier 4. Provides sufficient context, which includes the manufacturing countries ("Country A" and "Country B") AND the dependent variable ("gas mileage" or "mpg") Partially correct (P) if the response satisfies only two of the four components required for E. Incorrect (I) if the response does not meet the criteria for E or P. |
Scoring Notes:
- The response need not include specific numerical values to satisfy any given component or to score E on
part A.
- A response that only uses the "means" in the comparison of center would not satisfy component 1.
- Any acceptable mention of shape in the response should be ignored because complete shape information
cannot be determined from a boxplot. Acceptable mentions of shape include:
○ The shape of the distribution of the gas mileage for cars manufactured in Country A can be
described as skewed, positively skewed, or right skewed.
○ The shape of the distribution of the gas mileage for cars manufactured in Country B can be
described as skewed, negatively skewed, left skewed, or approximately symmetric.
- If the response describes the shape of either distribution as just "symmetric," "normal," "unimodal," or an
incorrect shape (e.g., "the distribution of gas mileages for Country A is left skewed" or "the distribution of
gas mileages for Country B is right skewed"), then part A cannot be scored E.
- A response that only lists values for center and/or spread and does not directly compare them does not
satisfy components 1 and/or 2.
- A response that just refers to "A" or "B" AND the dependent variable ("gas mileage" or "mpg") may
satisfy component 4.