Excel

STANDARDIZE: Excel Formulae Explained

How do you use STANDARDIZE in Excel?

The STANDARDIZE function in Excel takes a number and a standard deviation and returns a standardized value. The standardized value is the number's value divided by the standard deviation. The STANDARDIZE function is used to compare values that are not of the same units.

What is the syntax of STANDARDIZE in Excel?

The syntax of STANDARDIZE in Excel is as follows: =STANDARDIZE(x,mean,standard_deviation) x is the input value to be standardized. mean is the average of the input values. standard_deviation is the standard deviation of the input values.

What is an example of how to use STANDARDIZE in Excel?

The Excel function STANDARDIZE takes a number and a unit of measurement and creates a standardized value. The syntax is: =STANDARDIZE(number, unit)

For example, the value of pi is standardized to 3.14. To do this in Excel, type the following formula:

=STANDARDIZE(3.141592653589793, "Pi")

The value 3.141592653589793 is the number, and "Pi" is the unit. The standardized value is 3.14.

When should you not use STANDARDIZE in Excel?

There are a few instances where you should not use STANDARDIZE in Excel. One is if you have a list of numbers that are not evenly spaced. For example, if you have the numbers 1, 2, 3, 5, 7, 9, the STANDARDIZE function will give you a value of 2.5. Another instance where you should not use STANDARDIZE is if you have a list of text values. For example, if you have the text values "January", "February", "March", "April", the STANDARDIZE function will give you a value of "1".

What are some similar formulae to STANDARDIZE in Excel?

There are a few similar formulae to STANDARDIZE in Excel. The first is Z-SCORE, which is the number of standard deviations a particular value is from the mean. The second is STANDARD DEVIATION, which is a measure of how dispersed a data set is. The third is NORM.S.D., which is the standard deviation of a population. The fourth is NORM.D.I., which is the distance a data point is from the mean, divided by the standard deviation.

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