Question 14
Domain 2: Data ProcessingA data analyst is reviewing a variable whose values span several orders of magnitude and are highly right-skewed. In this situation, when is a log scale transformation most appropriate?
Correct answer: B
Explanation
A log scale transformation is appropriate when data cover a very wide range of values, especially across multiple orders of magnitude, and need to be compressed for analysis or visualization. — official.txt
Why each option is right or wrong
A. When the variable already has a narrow range and is evenly distributed
A log scale is used for very wide-ranging values, not data already confined to a small spread.
B. When the variable includes values across several orders of magnitude
The source material identifies log scale transformation as appropriate for scenarios requiring recognition of when such scaling should be used; values spanning several orders of magnitude are the defining situation described in the stem.
C. When the variable is categorical and needs to be grouped into labels
Log scale transformation applies to numeric magnitude, not to converting categories into labels.
D. When the variable contains only a few repeated integer values
A log scale is appropriate for broad numeric ranges, not sparse repeated counts with limited spread.