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| | *<math>n1,n2,n3... </math> are numbers. | | *<math>n1,n2,n3... </math> are numbers. |
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| | ==Description== | | ==Description== |
| − | *This function gives the standard deviation based on a given sample. | + | *This function gives the Standard Deviation based on a given sample. |
| − | *Standard deviation is a quantity expressing by how much the members of a group differ from the mean value for the group. | + | *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(n1,n2,n3...), n1,n2,n3...</math>, are numbers to find the standard deviation. | + | *In <math> STDEV(n1,n2,n3...)</math>, <math>n1,n2,n3...</math>, are numbers to find the Standard Deviation. |
| | *Here <math> n1 </math> is required. <math> n2,n3,... </math> are optional. | | *Here <math> n1 </math> is required. <math> n2,n3,... </math> 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> where <math> \bar{x} </math> is the sample mean of <math> x </math> and <math> n </math> is the total numbers in the given data. | + | *<math> STDEV </math> is defined by the formula: |
| − | *It is calculated using <math>"n-1" </math> method. | + | <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 [[Manuals/calci/STDEVP | STDEVP ]] function. | | *Suppose it should consider the data as the entire population, we can use the [[Manuals/calci/STDEVP | STDEVP ]] function. |
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| | *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. | | *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 nonnumeric. | + | 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. |
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| | |} | | |} |
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| − | # STDEV(18,25,76,91,107)=39.8660256358 | + | #=STDEV(18,25,76,91,107) = 39.8660256358 |
| − | #STDEV(208,428,511,634,116,589,907)=267.0566196431 | + | #=STDEV(208,428,511,634,116,589,907) = 267.0566196431 |
| − | #STDEV(A1:F1)=5.52871293039 | + | #=STDEV(A1:F1) = 5.52871293039 |
| − | #STDEV(A2:D2)=3.304037933599 | + | #=STDEV(A2:D2) = 3.304037933599 |
| − | #STDEV(A3:B3)=1.414213562373 | + | #=STDEV(A3:B3) = 1.414213562373 |
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| | ==See Also== | | ==See Also== |
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| | *[[Manuals/calci/DSTDEVP | DSTDEVP ]] | | *[[Manuals/calci/DSTDEVP | DSTDEVP ]] |
| | *[[Manuals/calci/STDEVP | STDEVP ]] | | *[[Manuals/calci/STDEVP | STDEVP ]] |
| − | *[[Manuals/calci/STDEVA| STDEVA]] | + | *[[Manuals/calci/STDEVA | STDEVA]] |
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| | ==References== | | ==References== |