Difference between revisions of "Manuals/calci/DVAR"
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{| 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 74: | Line 100: | ||
− | =DVAR(A4:C10,"Age",C1:C2) : Calculates the estimated variance for 'Age' column | + | =DVAR(A4:C10,"Age",C1:C2) : Calculates the estimated variance for 'Age' column in the range A4 to C10, for the cells with Salary>8000. <br/>Returns '''41.952380952380956''' as a result. |
− | =DVAR(A4:C10,3,B1:B3) : Calculates the estimated variance for 'salary' in the range | + | =DVAR(A4:C10,3,B1:B3) : Calculates the estimated variance for 'salary' in the range A4 to C10, for the cells with 40>Age>30. <br/>Returns '''2819444.4444444445''' as a result. |
− | + | ||
==Related Videos== | ==Related Videos== | ||
{{#ev:youtube|2Msme90PC58|280|center|DVAR}} | {{#ev:youtube|2Msme90PC58|280|center|DVAR}} |
Revision as of 12:40, 12 October 2015
DVAR(database, 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.
DVAR() calculates the estimates of the variance of a population, based on sample by using data in a specified column that matches the specified criteria.
Description
DVAR(database, field, criteria)
- 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
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 |
=DVAR(A4:C10,"Age",C1:C2) : Calculates the estimated variance for 'Age' column in the range A4 to C10, for the cells with Salary>8000.
Returns 41.952380952380956 as a result. =DVAR(A4:C10,3,B1:B3) : Calculates the estimated variance for 'salary' in the range A4 to C10, for the cells with 40>Age>30.
Returns 2819444.4444444445 as a result.