Transforming a set of data to a new mean and standard deviation using a linear transformation
A) alters the shape of the distribution.
B) makes the scores harder to work with.
C) is rarely permissible.
D) is something we do frequently.

Question

Quizplus · Accepted Answer

Transforming data to a new mean and standard deviation using a linear transformation is a common statistical practice, especially when comparing or combining data from different sources with different measurement scales. It does not alter the shape of the distribution and does not make the scores harder to work with, and in many cases is permissible.

Transforming a Set of Data to a New Mean and Standard