refers to the difference between the original analog data and the approximation of that data using the techniques for translating from analog data to digital signals.

A. Quantizing error

Step-by-step explanation:

Quantizing error is also known as Distortion. It is the contrast that exists between an analog signal and the digital value which is the closest at each sampling instant from the A/D converter. Quantizing error occurs when there is inaccurate representation of an analog signal which is a result of the resolution of the process adopted in digitizing it.

The resolution of A/D converter determines the quantization error, when the resolution of A/D converter is high, quantization error will be low as well as the quantization noise.

898.1666667

step-by-step explanation:

5389/6 = 898.1666667