Effects of Linear Transformations
Author(s)
David M. Lane
Prerequisites
Linear
Transformations
Learning Objectives
 Define a linear transformation
 Compute the mean of a transformed variable
 Compute the variance of a transformed variable
This section covers the effects of linear transformations
on measures of central tendency and variability.
If a variable X has a mean of μ, a standard
deviation of σ, and a variance of σ^{2},
then a new variable Y created using the linear transformation
Y = bX + A
will have a mean of bμ+A,
a standard deviation of bσ, and a
variance of b^{2}σ^{2}.
Please answer the questions:
