Difference between revisions of "Manuals/calci/PERCENTILE"

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==Examples==
 
==Examples==
#5
+
1.
7
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{| class="wikitable"
2
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|+Spreadsheet
9
+
|-
PERCENTILE(C1:C4,0.4) = 5.4
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! !! A !! B !! C !! D
#15
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|-
20
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! 1
12
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| 5 || 7 || 2 || 9
41
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|}
35
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=PERCENTILE(A1:D1,0.4) = 5.4
PERCENTILE(D1:D5,0.721) = 33.26
+
2.
#2
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{| class="wikitable"
3
+
|+Spreadsheet
4
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|-
PERCENTILE(A1:A3,1.1) = NAN
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! !! A !! B !! C !! D !! E
 +
|-
 +
! 1
 +
| 15 || 20 || 12 || 41 ||35
 +
|}
 +
=PERCENTILE(A1:E1,0.721) = 33.26
 +
 
 +
3.
 +
{| class="wikitable"
 +
|+Spreadsheet
 +
|-
 +
! !! A !! B !! C
 +
|-
 +
! 1
 +
| 2 || 3 || 4  
 +
|}
 +
=PERCENTILE(A1:A3,1.1) = NAN
  
 
==See Also==
 
==See Also==

Revision as of 03:47, 22 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.

Spreadsheet
A B C D
1 5 7 2 9
=PERCENTILE(A1:D1,0.4) = 5.4

2.

Spreadsheet
A B C D E
1 15 20 12 41 35
=PERCENTILE(A1:E1,0.721) = 33.26

3.

Spreadsheet
A B C
1 2 3 4
=PERCENTILE(A1:A3,1.1) = NAN

See Also

References