Normalization of data involves
A) expressing each variable on a common, standardized scale
B) subtracting the grand mean from each observation
C) dividing each observation by total variance
D) dividing each observation by average range

Question

Quizplus · Accepted Answer

Normalization of data involves expressing each variable on a common, standardized scale. This is commonly done by transforming the data to have a mean of 0 and a standard deviation of 1. This makes it easier to compare variables and identify patterns in the data.

B, C, and D are not correct choices for normalization techniques. Subtracting the grand mean from each observation (B) is known as centering and is done to remove bias from the data. Dividing each observation by total variance (C) or average range (D) are not standard techniques for normalization.

Normalization of Data Involves