If a measurement is close to the standard value but not reproducible, the result is:

• A. Not accurate, precise
• B. Not accurate, not precise
• C. Accurate, not precise
• D. Accurate, precise

Answer: (C)

In measurements, accuracy means how close your result is to the true value, while precision means how reproducible or repeatable your results are. If a measurement lands near the standard value, that shows accuracy. If the results vary a lot from trial to trial, they aren’t reproducible, which means low precision. So, a result that is close to the true value but not reproducible is accurate but not precise. For example, two or more measurements might hover around the correct value but differ from each other, indicating they’re biased toward the true value yet imprecise.