Difference between revisions of "Manuals/calci/DSTDEVP"

From ZCubes Wiki
Jump to navigation Jump to search
 
(5 intermediate revisions by 3 users not shown)
Line 1: Line 1:
=DSTDEVP(database, field, criteria)=
+
<div style="font-size:30px">'''DSTDEVP (Array,Field,Criteria)'''</div><br/>
 
 
 
where,
 
where,
*<math>database</math> is the range of cells that makes up the list or database
+
*<math>Array</math> is the range of cells that makes up the list or database
 
+
*<math>Field</math> shows which column is used in the function and  
*<math>field</math> shows which column is used in the function and  
+
*<math>Criteria</math> is the range of cells that contains the specified criteria.
 
+
**DSTDEVP() Calculates the standard deviation based on the entire population of selected database entries.
*<math>criteria</math> is the range of cells that contains the specified criteria.
 
 
 
DSTDEVP() calculates the standard deviation of a population, based on the entire population by using data in a database column that matches the specified condition.
 
  
 
== Description ==
 
== Description ==
  
DSTDEVP(database, field, criteria)
+
DSTDEVP (Array,Field,Criteria)
  
 
*Standard deviation shows the variation of data points from the average value.  
 
*Standard deviation shows the variation of data points from the average value.  
 
*If data points are close to mean value, a low standard deviation is observed. If data points are spread out from the mean value, a high standard deviation is observed.  
 
*If data points are close to mean value, a low standard deviation is observed. If data points are spread out from the mean value, a high standard deviation is observed.  
*A <math>field</math> argument can be expressed as "Salary" (a column name) or 3(position of the column).  
+
*A <math>Field</math> argument can be expressed as "Salary" (a column name) or 3(position of the column).  
*<math>criteria</math> can be any range on the Calci with minimum of one column and at least one row indicating the condition.
+
*<math>Criteria</math> can be any range on the Calci with minimum of one column and at least one row indicating the condition.
*The <math>criteria</math> columns should not overlap the list of data.
+
*The <math>Criteria</math> columns should not overlap the list of data.
  
 
== Examples ==
 
== Examples ==
Line 27: Line 23:
 
{| id="TABLE3" class="SpreadSheet blue"
 
{| id="TABLE3" class="SpreadSheet blue"
 
|- class="even"
 
|- class="even"
 +
| class="sshl_f" |
 +
| class="sshl_f" | A
 +
| class="sshl_f" | B
 +
| class="sshl_f" | C
 +
| class="sshl_f" | D
 +
 +
|- class="odd"
 +
| class="sshl_f" | 1
 
| class="sshl_f" | '''Name'''
 
| class="sshl_f" | '''Name'''
 
| class="sshl_f" | '''Age'''
 
| class="sshl_f" | '''Age'''
 
| class="sshl_f" | '''Salary'''
 
| class="sshl_f" | '''Salary'''
 
| class="sshl_f" | '''Age'''
 
| class="sshl_f" | '''Age'''
|- class="odd"
+
 
 +
|- class="even"
 +
| class="sshl_f" | 2
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="sshl_f" | &lt;40
 
| class="sshl_f" | &lt;40
 
| class="sshl_f" | &gt;8000
 
| class="sshl_f" | &gt;8000
 
| class="sshl_f" | &gt;32
 
| class="sshl_f" | &gt;32
|- class="even"
+
 
 +
|- class="odd"
 +
| class="sshl_f" | 3
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="sshl_f" | &gt;30
 
| class="sshl_f" | &gt;30
 
| class="sshl_f" |  
 
| class="sshl_f" |  
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="odd"
+
 
 +
|- class="even"
 +
| class="sshl_f" | 4
 
| class="sshl_f" | '''Name'''
 
| class="sshl_f" | '''Name'''
 
| class="sshl_f" | '''Age'''
 
| class="sshl_f" | '''Age'''
 
| class="sshl_f" | '''Salary'''
 
| class="sshl_f" | '''Salary'''
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="even"
+
 
 +
|- class="odd"
 +
| class="sshl_f" | 5
 
| class="sshl_f" | John
 
| class="sshl_f" | John
 
| class="sshl_f" | 34
 
| class="sshl_f" | 34
 
| class="sshl_f" | 5500
 
| class="sshl_f" | 5500
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="odd"
+
 
 +
|- class="even"
 +
| class="sshl_f" | 6
 
| class="sshl_f" | Bill
 
| class="sshl_f" | Bill
 
| class="sshl_f" | 35
 
| class="sshl_f" | 35
 
| class="sshl_f" | 6500
 
| class="sshl_f" | 6500
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="even"
+
 
 +
|- class="odd"
 +
| class="sshl_f" | 7
 
| class="sshl_f" | Clark
 
| class="sshl_f" | Clark
 
| class="sshl_f" | 29
 
| class="sshl_f" | 29
 
| class="sshl_f" | 7000
 
| class="sshl_f" | 7000
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="odd"
+
 
 +
|- class="even"
 +
| class="sshl_f" | 8
 
| class="sshl_f" | Bob
 
| class="sshl_f" | Bob
 
| class="sshl_f" | 45
 
| class="sshl_f" | 45
 
| class="sshl_f" | 9000
 
| class="sshl_f" | 9000
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="even"
+
 
 +
|- class="odd"
 +
| class="sshl_f" | 9
 
| class="sshl_f" | Susan
 
| class="sshl_f" | Susan
 
| class="sshl_f" | 37
 
| class="sshl_f" | 37
 
| class="sshl_f" | 4000
 
| class="sshl_f" | 4000
 
| class="sshl_f" |
 
| class="sshl_f" |
|- class="odd"
+
 
 +
|- class="even"
 +
| class="sshl_f" | 10
 
| class="sshl_f" | Jill
 
| class="sshl_f" | Jill
 
| class="sshl_f" | 45
 
| class="sshl_f" | 45
Line 78: Line 100:
 
|}
 
|}
  
  =DSTDEVP(A4:C10,"Age",B1:B3) : Calculates the true standard deviation for 'Age' column <br>in the range A4 to C10, for the cells with 40>Age>30. <br />''Returns 4.916588197741686'' as a result.
+
  =DSTDEVP(A4:C10,"Age",B1:B3) : Calculates the true standard deviation for 'Age' column <br>in the range A4 to C10, for the cells with 40>Age>30. <br />Returns '''4.916588197741686''' as a result.
  =DSTDEVP(A4:C10,3,D1:D2) : Calculates the true standard deviation for 'salary' <br>in the range A4 to C10, for the cells with Age>32. <br />''Returns 1772.004514666935'' as a result.
+
  =DSTDEVP(A4:C10,3,D1:D2) : Calculates the true standard deviation for 'salary' <br>in the range A4 to C10, for the cells with Age>32. <br />Returns '''1772.004514666935''' as a result.
  
 
==Related Videos==
 
==Related Videos==
Line 92: Line 114:
  
 
*[http://en.wikipedia.org/wiki/Standard_deviation Standard deviation]
 
*[http://en.wikipedia.org/wiki/Standard_deviation Standard deviation]
 +
 +
 +
 +
 +
*[[Z_API_Functions | List of Main Z Functions]]
 +
 +
*[[ Z3 |  Z3 home ]]

Latest revision as of 14:49, 24 August 2018

DSTDEVP (Array,Field,Criteria)


where,

  • is the range of cells that makes up the list or database
  • shows which column is used in the function and
  • is the range of cells that contains the specified criteria.
    • DSTDEVP() Calculates the standard deviation based on the entire population of selected database entries.

Description

DSTDEVP (Array,Field,Criteria)

  • Standard deviation shows the variation of data points from the average value.
  • If data points are close to mean value, a low standard deviation is observed. If data points are spread out from the mean value, a high standard deviation is observed.
  • A argument can be expressed as "Salary" (a column name) or 3(position of the column).
  • can be any range on the Calci with minimum of one column and at least one row indicating the condition.
  • The columns should not overlap the list of data.

Examples

Consider the following table with Employee details as input to DSTDEVP function.

A B C D
1 Name Age Salary Age
2 <40 >8000 >32
3 >30
4 Name Age Salary
5 John 34 5500
6 Bill 35 6500
7 Clark 29 7000
8 Bob 45 9000
9 Susan 37 4000
10 Jill 45 8000
=DSTDEVP(A4:C10,"Age",B1:B3) : Calculates the true standard deviation for 'Age' column 
in the range A4 to C10, for the cells with 40>Age>30.
Returns 4.916588197741686 as a result. =DSTDEVP(A4:C10,3,D1:D2) : Calculates the true standard deviation for 'salary'
in the range A4 to C10, for the cells with Age>32.
Returns 1772.004514666935 as a result.

Related Videos

DSTDEVP

See Also

References