Variance between the measured and true values.

Variance between the measured and true values.

• A. Accuracy
• B. Inaccuracy
• C. Precision
• D. CV

Answer: (B)

The key idea is how close your measurement is to the true value. When you look at how far a measured result sits from the actual value, you’re describing inaccuracy—the amount by which the measurement misses the truth. Accuracy is about being close to the true value, so the smaller the deviation, the higher the accuracy. Precision, on the other hand, is about how tightly repeated measurements cluster together, regardless of whether they hit the true value. The coefficient of variation (CV) is a relative measure of spread, not distance from the true value, so it doesn’t capture how accurate the measurement is. So the deviation between what you measure and what is true is best described as inaccuracy.

The key idea is how close your measurement is to the true value. When you look at how far a measured result sits from the actual value, you’re describing inaccuracy—the amount by which the measurement misses the truth. Accuracy is about being close to the true value, so the smaller the deviation, the higher the accuracy. Precision, on the other hand, is about how tightly repeated measurements cluster together, regardless of whether they hit the true value. The coefficient of variation (CV) is a relative measure of spread, not distance from the true value, so it doesn’t capture how accurate the measurement is. So the deviation between what you measure and what is true is best described as inaccuracy.