Difference between revisions of "Manuals/calci/STDEV"
Jump to navigation
Jump to search
| (18 intermediate revisions by 4 users not shown) | |||
| Line 1: | Line 1: | ||
| − | <div style="font-size:30px">'''STDEV( | + | <div style="font-size:30px">'''STDEV()'''</div><br/> |
| − | * | + | *Parameters are set of numbers. |
| + | **STDEV(), estimates standard deviation based on a sample. | ||
| − | |||
| − | |||
==Description== | ==Description== | ||
| − | *This function gives the | + | *This function gives the Standard Deviation based on a given sample. |
| − | *Standard | + | *Standard Deviation is the quantity expressed by, how many members of a group differ from the mean value of the group. |
*It is the used as a measure of the dispersion or variation in a distribution. | *It is the used as a measure of the dispersion or variation in a distribution. | ||
*It is calculated as the square root of variance. | *It is calculated as the square root of variance. | ||
| − | *In <math> STDEV( | + | *In <math> STDEV()</math>, Parameters are set of numbers to find the Standard Deviation. |
| − | *Here | + | *Here First parameter is required. From the second parameter are optional. |
| − | *Instead of numbers we can use the single array or a reference of a array. | + | *Instead of numbers, we can use the single array or a reference of a array. |
| − | *<math> STDEV </math> is defined by the formula: <math>S.D= \sqrt \frac {\sum(x-\bar{x})^2}{(n-1)} </math> | + | *<math> STDEV </math> is defined by the formula: |
| − | *It is calculated using <math> | + | <math>S.D= \sqrt \frac {\sum(x-\bar{x})^2}{(n-1)} </math> |
| + | where <math> \bar{x} </math> is the sample mean of <math> x </math> and <math> n </math> is the total numbers of the given data. | ||
| + | *It is calculated using <math>n-1</math> method. | ||
*This function is considering our given data is the sample of the population. | *This function is considering our given data is the sample of the population. | ||
| − | *Suppose it should consider the data as the entire population, we can use the STDEVP function. | + | *Suppose it should consider the data as the entire population, we can use the [[Manuals/calci/STDEVP | STDEVP ]] function. |
*The arguments can be be either numbers or names, array,constants or references that contain numbers. | *The arguments can be be either numbers or names, array,constants or references that contain numbers. | ||
*Suppose the array contains text,logical values or empty cells, like that values are not considered. | *Suppose the array contains text,logical values or empty cells, like that values are not considered. | ||
*When we are entering logical values and text representations of numbers as directly, then the arguments are counted. | *When we are entering logical values and text representations of numbers as directly, then the arguments are counted. | ||
| − | *Suppose the function have to consider the logical values and text representations of numbers in a reference , we can use the [[STDEVA]] function. | + | *Suppose the function have to consider the logical values and text representations of numbers in a reference , we can use the [[Manuals/calci/STDEVA| STDEVA]] function. |
*This function will return the result as error when | *This function will return the result as error when | ||
| − | 1. Any one of the argument is | + | 1. Any one of the argument is non-numeric. |
2. The arguments containing the error values or text that cannot be translated in to numbers. | 2. The arguments containing the error values or text that cannot be translated in to numbers. | ||
| − | + | ==Examples== | |
| + | {| class="wikitable" | ||
| + | |+Spreadsheet | ||
| + | |- | ||
| + | ! !! A !! B !! C !! D!! E !!F | ||
| + | |- | ||
| + | ! 1 | ||
| + | | 0 || 4 || 6 ||10 || 12 || 15 | ||
| + | |- | ||
| + | ! 2 | ||
| + | | 7 || 3 || -1 || 2 || 25 || | ||
| + | |- | ||
| + | ! 3 | ||
| + | | 9 || 11 || 8 ||6 || 15 || | ||
| + | |} | ||
| − | + | #=STDEV(18,25,76,91,107) = 39.8660256358 | |
| + | #=STDEV(208,428,511,634,116,589,907) = 267.0566196431 | ||
| + | #=STDEV(A1:F1) = 5.52871293039 | ||
| + | #=STDEV(A2:D2) = 3.304037933599 | ||
| + | #=STDEV(A3:B3) = 1.414213562373 | ||
| + | #=STDEV(12,18,27,32,FALSE) = 12.617448236470002 | ||
| − | + | ==Related Videos== | |
| − | + | {{#ev:youtube|wJGgZJNYaPA|280|center|STANDARD DEVIATION}} | |
| − | |||
| − | |||
| − | + | ==See Also== | |
| + | *[[Manuals/calci/DSTDEV | DSTDEV]] | ||
| + | *[[Manuals/calci/DSTDEVP | DSTDEVP ]] | ||
| + | *[[Manuals/calci/STDEVP | STDEVP ]] | ||
| + | *[[Manuals/calci/STDEVA | STDEVA]] | ||
| − | + | ==References== | |
| − | + | *[http://en.wikipedia.org/wiki/Standard_deviation Standard Deviation] | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | *[[Z_API_Functions | List of Main Z Functions]] | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | *[[ Z3 | Z3 home ]] | |
| − | |||
| − | |||
| − | |||
Latest revision as of 16:17, 8 August 2018
STDEV()
- Parameters are set of numbers.
- STDEV(), estimates standard deviation based on a sample.
Description
- This function gives the Standard Deviation based on a given sample.
- Standard Deviation is the quantity expressed by, how many members of a group differ from the mean value of the group.
- It is the used as a measure of the dispersion or variation in a distribution.
- It is calculated as the square root of variance.
- In , Parameters are set of numbers to find the Standard Deviation.
- Here First parameter is required. From the second parameter are optional.
- Instead of numbers, we can use the single array or a reference of a array.
- is defined by the formula:
, Parameters are set of numbers to find the Standard Deviation.
is defined by the formula:
where is the sample mean of and is the total numbers of the given data.
is the sample mean of 
and 
is the total numbers of the given data.
- It is calculated using method.
- This function is considering our given data is the sample of the population.
- Suppose it should consider the data as the entire population, we can use the STDEVP function.
- The arguments can be be either numbers or names, array,constants or references that contain numbers.
- Suppose the array contains text,logical values or empty cells, like that values are not considered.
- When we are entering logical values and text representations of numbers as directly, then the arguments are counted.
- Suppose the function have to consider the logical values and text representations of numbers in a reference , we can use the STDEVA function.
- This function will return the result as error when
method. 1. Any one of the argument is non-numeric.
2. The arguments containing the error values or text that cannot be translated in to numbers.
Examples
| A | B | C | D | E | F | |
|---|---|---|---|---|---|---|
| 1 | 0 | 4 | 6 | 10 | 12 | 15 |
| 2 | 7 | 3 | -1 | 2 | 25 | |
| 3 | 9 | 11 | 8 | 6 | 15 |
- =STDEV(18,25,76,91,107) = 39.8660256358
- =STDEV(208,428,511,634,116,589,907) = 267.0566196431
- =STDEV(A1:F1) = 5.52871293039
- =STDEV(A2:D2) = 3.304037933599
- =STDEV(A3:B3) = 1.414213562373
- =STDEV(12,18,27,32,FALSE) = 12.617448236470002
Related Videos
See Also
References