Topic: DMD0117

STDEVR - Sample Standard Deviation of a Range


This instruction can only be used in the Expression field of the Calculate Expression (MATH) instruction.

 

The Sample Standard Deviation of a  Range (STDEVR) math function calculates the Sample Standard Deviation across a Range of values in a data-block.

 

The expression parameter consists of all the text between the bounding parentheses. Any expression parameter can be a constant value, a bit or numeric memory location, an arithmetic expression, and/or mathematical function or other expressions up to a maximum of 1024 characters. Expressions can be nested, so use of parentheses is recommended to ensure proper evaluation order.

 

This function has two parameters as follows:

 

The first parameter designates the first location in the range of values. This can be any readable bit data-block location or readable numeric data-block location.
 

The second parameter specifies the number of successive locations that are in the range. Note that this value is a count value, it does NOT specify the ending location. This can be any constant value from 1 to 65535, or a bit or numeric memory location, an arithmetic expression, and/or mathematical function or other expression. Expressions can be nested, so use of parentheses is recommended to ensure proper evaluation order.

 

Note: If the second parameter (Range) is 0 or 1, the result will be set to 0 and ST132 (Argument Out of Range) will be ON.

 

Note: If the second parameter (Range) exceeds the size of the data block , the result will be calculated using the values up to the last variable in the block and ST132 (Argument Out of Range) will be ON. For example, assume the block of WX locations has a range of WX0 to WX255. The result of STDEVR(WX250, 10) would be the Sample Standard Deviation of the 6 values in WX250 through WX255, and ST132 (Argument Out of Range) will be ON.

 

Generally speaking, standard deviation shows how much variation or "dispersion" exists from the average (mean, or expected value). A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data points are spread out over a large range of values.

 

This is the mathematical formula used, where N denotes the number of data points, xi denotes each individual data point, and x-bar denotes the average (or mean) of the N data points.

 

The Sample Standard Deviation is typically used when a sample of data from a larger population is available. Otherwise the Population Standard Deviation of a Range (STDEVPR) math function should be used.

 


See Also:

 


Related Topics:

 


Rung Example: