A graph question about a test’s success asks whether measured results support the researchers’ claim. Read the claim and the passage’s rule for judging success, so you know which measurements matter. Then read the title, axes, and key to identify the groups, units, and conditions. Compare each group under the conditions that matter, then check every number in a choice and whether the evidence supports the whole claim. Correct numbers can still miss the claim if they compare the wrong measurements.
Hints
- Hint 1
Look for the passage’s rule for successful calibration. Which measurements does that rule compare?
- Hint 2
Compare each printer’s corrected error with its own baseline. Find each difference, then ask whether the result meets the passage’s rule for success.
Step-by-step
Compare improvement with the baseline target
Step 1Set the accuracy target
The passage says effective calibration should make error return to (or improve on) its baseline level. What would support the concern that it may not reliably restore printers to their baseline accuracy? Corrected error would still be above a printer’s own baseline in some cases. A drop in error isn't enough by itself, because success means reaching the accuracy the printer had before the shift.
- Step 2
Compare corrected error with baseline
The graph measures average absolute dimensional error (in millimeters), so lower values mean better accuracy. Its key uses light gray for baseline and black for corrected error. Which printers meet the target? A is below baseline at 0.09 versus 0.10 mm, but B is about 0.06 mm above it (0.17 versus 0.11) and C is about 0.07 mm above it (0.19 versus 0.12). So within 0.02 mm of baseline error is false, and nearly the same for Printers B and C doesn't show a return to either printer’s baseline. B and C haven't regained their baseline accuracy.
- Step 3
Distinguish improvement from restored accuracy
Did error decrease after an induced nozzle shift? A drops by about 0.25 mm (0.34 to 0.09), B by 0.13 mm (0.30 to 0.17), and C by 0.22 mm (0.41 to 0.19). That rules out greatest improvement for the printer with the largest shifted error, because C starts highest but A improves most. The choice combining reduced error with two printers with error above baseline shows that the routine can help without always reaching baseline accuracy. Choice B.