"The distinction between precision and relevance should be kept in mind." Explain.

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Part 1

A.

Precision is a measure of ambiguity in data. It is a theoretical term. Relevance is an indication of the limited data in regards to the facts for the problem at hand.

B.

Precision is a measure of the accuracy of certain data. It is a quantifiable term. Relevance is an indication of the pertinence of certain facts for the problem at hand.

C.

Precision is a measure of the accuracy of certain data. It is a non-quantifiable term. Relevance is an indication of the limited data in regards to the facts for the problem at hand.

D.

Precision is a measure of elusiveness in data. It is a hypothetical term. Relevance is an indication of the pertinence of certain facts for the problem at hand.