Difference between revisions of "Manuals/calci/PERCENTILE"

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*Percentile means any of the 100 equal parts into which the range of the values of a set of data can be divided in order to show the distribution of those values.  
 
*Percentile means any of the 100 equal parts into which the range of the values of a set of data can be divided in order to show the distribution of those values.  
 
*The percentile of a given value is determined by the percentage of the values that are smaller than that value.
 
*The percentile of a given value is determined by the percentage of the values that are smaller than that value.
*For example we can have the <math>25^th</math> percentile is the value  below which 25 percent of the observations may be found.
+
*For example we can have the <math>25^{th}</math> percentile is the value  below which 25 percent of the observations may be found.
 
*The 25th percentile is called  as the first quartile (Q1), the 50th percentile as the median  quartile (Q2), and the 75th percentile as the third quartile (Q3).  
 
*The 25th percentile is called  as the first quartile (Q1), the 50th percentile as the median  quartile (Q2), and the 75th percentile as the third quartile (Q3).  
 
*In general, percentiles and quartiles are specific types of quantiles.
 
*In general, percentiles and quartiles are specific types of quantiles.

Revision as of 02:49, 7 January 2014

PERCENTILE(ar,k)


  • is the array of data .
  • is the Percentile value.

Description

  • This function gives the percentile value in a given range.
  • Percentile means any of the 100 equal parts into which the range of the values of a set of data can be divided in order to show the distribution of those values.
  • The percentile of a given value is determined by the percentage of the values that are smaller than that value.
  • For example we can have the percentile is the value below which 25 percent of the observations may be found.
  • The 25th percentile is called as the first quartile (Q1), the 50th percentile as the median quartile (Q2), and the 75th percentile as the third quartile (Q3).
  • In general, percentiles and quartiles are specific types of quantiles.
  • In , is the array of data that indicating relative standing and is the Percentile value in the range (inclusive).
  • This function will return the result as error when
1. The array value is empty.
2.  is non-numeric or  or .

Examples

  1. 5

7 2 9 PERCENTILE(C1:C4,0.4) = 5.4

  1. 15

20 12 41 35 PERCENTILE(D1:D5,0.721) = 33.26

  1. 2

3 4 PERCENTILE(A1:A3,1.1) = NAN

See Also

References