Data reduction typically involves the following steps except:
A) Identify the attribute you would like to reduce or focus on.
B) Identify the parameters of the model.
C) Filter the results.
D) Interpret the results.

Question

Quizplus · Accepted Answer

Data reduction typically involves identifying the attribute(s) to focus on, filtering the data to remove unwanted noise, and interpreting the results. However, identifying the parameters of the model is not necessarily a step in data reduction. It may be relevant for model building or selection but not for data reduction specifically.

Data Reduction Typically Involves the Following Steps Except