SAT Reading & Writing · Command of Evidence (quantitative)

An analyst concludes that the frequency increase may have contributed to higher ridership but does not by itself prove causation. Which…

A transit agency compared average weekday ridership before and after increasing peak-hour train frequency on one line.

| Month | Peak trains per hour | Average weekday riders |
|---|---|---|
| April | 8 | 41,200 |
| June | 12 | 48,900 |

An analyst concludes that the frequency increase may have contributed to higher ridership but does not by itself prove causation. Which choice most effectively uses the data to support the analyst’s conclusion?

Answer and explanation

Answer: A: Train frequency and ridership were both higher in June than in April, but the table does not rule out other changes between the two months.

The analyst's conclusion specifically avoids claiming certainty about causation, and A matches that caution: it notes both variables rose together while explicitly acknowledging the table cannot rule out other explanations. B invents a nonsensical unit conversion between riders and trains. C introduces an unsupported explanation for April's numbers that the passage never provides evidence for. D overstates the data into a firm causal claim the analyst's own conclusion explicitly avoids making.

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