Which of the following statements is true of data with granularity?
A)It can be too fine or too coarse and also have wrong granularity.
B)If granularity is too coarse, data can be made finer by summing and combining.
C)It is not possible to have a wrong granularity for a data.
D)If granularity is too coarse, data can be separated into constituent parts using regression.

Question

Quizplus · Accepted Answer

Data with granularity can suffer from being either too fine or too coarse. Additionally, there may be instances where the granularity is simply incorrect for the intended purpose or analysis.

Which of the Following Statements Is True of Data with Granularity