Difference between revisions of "Documentation/How Tos/Calc: STANDARDIZE function"
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== STANDARDIZE == | == STANDARDIZE == | ||
| − | + | Converts a value in a normal distribution to its equivalent in a standard normal distribution. | |
=== Syntax: === | === Syntax: === | ||
<tt>'''STANDARDIZE(n; μ; σ)'''</tt> | <tt>'''STANDARDIZE(n; μ; σ)'''</tt> | ||
| − | : <tt>'''n'''</tt> is a number in a normal distribution with | + | : <tt>'''n'''</tt> is a number in a normal distribution with known mean <tt>'''μ'''</tt> and known standard deviation <tt>'''σ'''</tt>. |
| − | : <tt>'''STANDARDIZE'''</tt> converts <tt>'''n'''</tt> to a corresponding value in a | + | : <tt>'''STANDARDIZE'''</tt> converts <tt>'''n'''</tt> to a corresponding value in a standard normal distribution, which has mean <tt>'''0'''</tt> and standard deviation <tt>'''1'''</tt>. |
| − | : | + | : <tt>'''STANDARDIZE'''</tt> calculates and returns (<tt>'''n'''</tt> - <tt>'''μ'''</tt>)/ <tt>'''σ'''</tt>. |
=== Example: === | === Example: === | ||
Revision as of 16:37, 10 June 2008
STANDARDIZE
Converts a value in a normal distribution to its equivalent in a standard normal distribution.
Syntax:
STANDARDIZE(n; μ; σ)
- n is a number in a normal distribution with known mean μ and known standard deviation σ.
- STANDARDIZE converts n to a corresponding value in a standard normal distribution, which has mean 0 and standard deviation 1.
- STANDARDIZE calculates and returns (n - μ)/ σ.
Example:
STANDARDIZE(14; 10; 4)
- returns 1. The original value 14 lies 1 standard deviation above the original mean 10; the new value lies 1 standard deviation above the new mean 0.
