The standard normal distribution has mean
and variance![]()
It is a very convenient property of the normal distribution that any normal distribution, with any mean and any variance, can be transformed onto the standard normal distribution with a simple linear transformation.
If some quantity
is normally distributed with mean
and variance
and the quantity
takes values
then the transformation
transforms each value
onto a standard normal score![]()
Every value of
corresponds to a probability
and![]()
We can use the transformation properties of the mean and variance
and![]()
to show that the transformation
transforms
onto![]()
![]()
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