STANDARDIZE Function

Excel Functions › Statistical

All versions Statistical

The Excel STANDARDIZE function returns a normalized (z-score) value from a distribution defined by its mean and standard deviation — how many standard deviations a value sits above or below the mean.


Quick answer:
=STANDARDIZE(42,40,1.5) z-score =~ 1.333

Syntax

=STANDARDIZE(x, mean, standard_dev)
ArgumentDescription
xRequiredThe value you want to normalize.
meanRequiredThe arithmetic mean of the distribution.
standard_devRequiredThe standard deviation of the distribution. Must be greater than 0.

How to use it

STANDARDIZE converts a raw value into a z-score using the formula (x - mean) / standard_dev. The result tells you how many standard deviations the value lies from the mean.

=STANDARDIZE(42,40,1.5) // (42-40)/1.5 =~ 1.333
=STANDARDIZE(40,40,1.5) // at the mean = 0
=STANDARDIZE(37,40,1.5) // below the mean = -2

A positive z-score is above the mean, a negative one below, and 0 sits exactly at the mean. Z-scores let you compare values from distributions with different scales on a common footing.

standard_dev must be positive. If you pass a standard deviation of 0 or less, STANDARDIZE returns a #NUM! error.

Try it: interactive demo

Live demo

Pick a STANDARDIZE example to see the formula and its result.

Result:

Practice workbook

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Frequently asked questions

What is a z-score?
A z-score is the number of standard deviations a value lies from the mean: (x - mean) / standard_dev. A z-score of 2 means the value is two standard deviations above the mean.
Why would I standardize a value?
Standardizing puts values from different distributions on the same scale so they can be compared directly — for example a test score of 85 versus 92 from exams with different averages and spreads.
What does a negative result mean?
A negative z-score means the value is below the mean; a positive one means it is above. Exactly at the mean the z-score is 0.
What causes a #NUM! error?
Passing a standard_dev of zero or a negative number. Standard deviation must be greater than 0, since dividing by it is the core of the calculation.

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Related functions: NORM.DIST · NORM.S.DIST · STDEV.S · AVERAGE · Z.TEST