Difference between revisions of "Manuals/calci/STDEVPIF"

Revision as of 14:53, 18 January 2018

STDEVPIF (Array,Condition,SumArray)

This function gives the standard deviation based on a entire population as the the given data which satisfies the given condition.
In $STDEVPIF(Array,Condition,SumArray)$ , $Array$ is the set of values.
$Condition$ is the particular condition which satisfies the Standard deviation value.
Standard Deviation is a quantity expressing by how much the members of a group differ from the mean value for the group.
It is the used as a measure of the dispersion or variation in a distribution.
It is calculated as the square root of variance.
$STDEVP$ is defined by the formula:

$S.D={\sqrt {\frac {\sum (x-{\bar {x}})^{2}}{(n-1)}}}$ where ${\bar {x}}$ is the sample mean of x and n is the total numbers in the given data.

It is calculated using $n$ method.
This function is considering our given data as the entire population.
Suppose it should consider the data as the sample of the population, we can use the STDEV function.
For huge sample sizes the functions $STDEV$ and $STDEVP$ are approximately equal values.
The arguments can be either numbers or names, array,constants or references that contain numbers.
Suppose the array contains text,logical values or empty cells, like that values are not considered.
When we are entering logical values and text representations of numbers as directly, then the arguments are counted.
Suppose the function have to consider the logical values and text representations of numbers in a reference , we can use the STDEVPA function.
This function will return the result as error when

   1. Any one of the argument is non-numeric. 
   2. The arguments containing the error values or text that cannot be translated in to numbers.

@@ Line 13: / Line 13: @@
 <math>S.D= \sqrt \frac {\sum(x-\bar{x})^2}{(n-1)} </math>
 where <math> \bar{x} </math>  is the sample mean of x and n is the total numbers in the given data.
-*It is calculated using <math> "n" </math> method.
+*It is calculated using <math> n </math> method.
 *This function is considering our given data as the entire population.
 *Suppose it should consider the data as the sample of the population, we can use the [[Manuals/calci/STDEV  | STDEV ]] function.