A log transformation has the same type of effect as a square-root transformation, but the effect is stronger, so it is more suitable for distributions that are:
A)normally distributed
B)very strongly skewed to the left
C)very strongly skewed to the right
D)bimodal in their distribution

Question

Quizplus · Accepted Answer

A log transformation is more suitable for distributions that are very strongly skewed to the right, as it compresses the larger values and spreads out the smaller values. This helps to make the distribution more symmetrical and closer to a normal distribution.

A Log Transformation Has the Same Type of Effect as a Square-Root