STDEVP(n1,n2,n3…)
- are numbers.
Description
- This function gives the standard deviation based on a entire population as the the given data .
- Standard Deviation is a quantity expressing by how much the members of a group differ from the mean value for 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 , are numbers to find the Standard Deviation.
- Here is required. are optional.
- Instead of numbers we can use the single array or a reference of a array.
- is defined by the formula:
where is the sample mean of x and n is the total numbers in the given data.
- It is calculated using Failed to parse (syntax error): {\displaystyle "n" } method.
- This function is considering our given data as the entire population.
- Suppose it should consider the data as the sample of the population, we can use the STDEV function.
- For huge sample sizes the functions and are approximately equal values.
- The arguments can 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 STDEVPA function.
- This function will return the result as error when
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 | G | |
---|---|---|---|---|---|---|---|
1 | 87 | 121 | 427 | 390 | 110 | 54 | 32 |
2 | 2 | 2.4 | 3.7 | 14.9 | 28 | 198 | 154.1 |
3 | 9 | -4 | -29 | 38 | 101 | 19 | 45 |
- =STDEVP(A1:E1) = 149.0597195757
- =STDEVP(A2:G2) = 76.31463871127
- =STDEVP(A3:E3) = 44.58250778015
- =STDEVP(0,2,8,10,11.7,23.8,32.1,43.7) = 14.389530699435