Difference between revisions of "Manuals/calci/DSTDEVP"
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− | =DSTDEVP( | + | <div style="font-size:30px">'''DSTDEVP (Array,Field,Criteria)'''</div><br/> |
− | |||
where, | where, | ||
− | *<math> | + | *<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> | + | *<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> | ||
− | |||
− | DSTDEVP() | ||
== Description == | == Description == | ||
− | DSTDEVP( | + | 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> | + | *A <math>Field</math> argument can be expressed as "Salary" (a column name) or 3(position of the column). |
− | *<math> | + | *<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> | + | *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=" | + | |
+ | |- class="even" | ||
+ | | class="sshl_f" | 2 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | <40 | | class="sshl_f" | <40 | ||
| class="sshl_f" | >8000 | | class="sshl_f" | >8000 | ||
| class="sshl_f" | >32 | | class="sshl_f" | >32 | ||
− | |- class=" | + | |
+ | |- class="odd" | ||
+ | | class="sshl_f" | 3 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | >30 | | class="sshl_f" | >30 | ||
| class="sshl_f" | | | class="sshl_f" | | ||
| class="sshl_f" | | | class="sshl_f" | | ||
− | |- class=" | + | |
+ | |- 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=" | + | |
+ | |- 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=" | + | |
+ | |- 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=" | + | |
+ | |- 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=" | + | |
+ | |- 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=" | + | |
+ | |- 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=" | + | |
+ | |- 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 />'' | + | =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 />'' | + | =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 13:49, 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
See Also
References