Difference between revisions of "Manuals/calci/AVEDEV"

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*<math>n</math> is the number of given set of observations.
 
*<math>n</math> is the number of given set of observations.
 
Here we have to give more than one arguments. Arguments can be either number, name,logical values, arrays or cell references that contain numbers.
 
Here we have to give more than one arguments. Arguments can be either number, name,logical values, arrays or cell references that contain numbers.
This function will give the result as error,  
+
*This function will give the result as error,  
#when the text couldn't convert in to numbers.
+
**when the text couldn't convert in to numbers.
  
 
Logical values and text representations of numbers are calculated.  
 
Logical values and text representations of numbers are calculated.  

Revision as of 04:20, 21 November 2013

AVEDEV(n1,n2,n3)


  • are any real numbers.

Description

  • AVEDEV returns the average of the absolute deviations of data points from their mean.
  • Arguments can be numbers, names, arrays, or references.

This function gives the average absolute deviation of a given set of numbers. The Average deviation is calculated in three steps:

  1. We have to find the mean .
  2. To find the deviation of each value, subtract all numbers with its mean value.
  3. Then find the average deviation, add all the deviation values and divide by the number of given set of numbers.

  • Here is the observation.
  • . is the mean.
  • is the number of given set of observations.

Here we have to give more than one arguments. Arguments can be either number, name,logical values, arrays or cell references that contain numbers.

  • This function will give the result as error,
    • when the text couldn't convert in to numbers.

Logical values and text representations of numbers are calculated.

Formula:- The equation to find out the average deviation is:

Column1 Column2 Column3 Column4
Row1 7 1.75
Row2 6
Row3 9
Row4 3
Row5 0
Row6

Where N1, N 2 ...   are positive integers. =AVEDEV (B2:B5) is 1.75