Which type of error is described as occurring from instrument inaccuracies?

Systematic errors arise from consistent inaccuracies in measurement instruments or methodologies, leading to results that are consistently skewed in one direction, either higher or lower than the true value. These errors can occur due to improper calibration of equipment, flawed experimental design, or consistent environmental factors affecting the measurements.

In contrast, other types of errors do not stem from instrument inaccuracies in a consistent manner. Blunders refer to mistakes or miscalculations made by the experimenter, which can lead to random mistakes rather than systematic bias. Random uncertainty reflects the inherent variations that can occur in repeated measurements due to minor fluctuations in experimental conditions or the observer's interpretation, which would not have a consistent direction. Measurement uncertainty involves the range of values that could reasonably be expected due to limitations in measurement tools but does not specifically focus on the consistent bias introduced by inaccurate instruments.

Thus, the correct classification of errors stemming from instrument inaccuracies is indeed systematic error, as it systematically affects the results due to consistent flaws in the measurement process.