Difference between revisions of "Manuals/calci/PERCENTRANK"

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* To find the percentile rank of a score is :<math>PR \%= \frac {L+( 0.5*S )}{N}</math>  
 
* To find the percentile rank of a score is :<math>PR \%= \frac {L+( 0.5*S )}{N}</math>  
 
Where,
 
Where,
L = Number of below rank,  
+
<math>L</math> = Number of below rank,  
S = Number of same rank,
+
<math>S</math> = Number of same rank,
N = Total numbers.
+
<math>N</math> = Total numbers.
*In PERCENTRANK(ar,x),ar is the array  of numeric values and x is the value to find the rank. This function gives the result as error when array is empty .
+
*In <math>PERCENTRANK(ar,x)</math>, <math>ar</math> is the array  of numeric values and <math>x</math> is the value to find the rank.  
 +
*This function gives the result as error when array is empty .
  
 
==Examples==
 
==Examples==

Revision as of 03:54, 7 January 2014

PERCENTRANK(ar,x)


  • is the array data and is the value


Description

  • This function gives the percentage rank of a value in a given set of numbers.
  • To calculate the relative standing of a data set we can use this function.
  • For example, a test score that is greater than or equal to 50% of the scores of people taking the test is said to be at the 50th percentile rank.
  • Percentile ranks are commonly used to clarify the interpretation of scores on standardized tests.
  • To find the percentile rank of a score is :

Where, = Number of below rank, = Number of same rank, = Total numbers.

  • In , is the array of numeric values and is the value to find the rank.
  • This function gives the result as error when array is empty .

Examples

  1. 3

4 1 2 1 PERCENTRANK(A1:A5,2)=0.5

  1. 7

6 2 5 9 1 PERCENTRANK(B1:B6,3)=0.267


See Also


References