Difference between revisions of "Manuals/calci/VARP"
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− | <div style="font-size:30px">'''VARP( | + | <div style="font-size:30px">'''VARP()'''</div><br/> |
− | * | + | *Parameters are set of numbers. |
+ | **VARP(),calculates variance based on the entire population. | ||
+ | |||
==Description== | ==Description== | ||
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*i.e.,variance is a measure of how far each value in the data set is from the mean. | *i.e.,variance is a measure of how far each value in the data set is from the mean. | ||
*It is denoted by <math> \sigma </math>. The square root of variance is called the standard deviation. | *It is denoted by <math> \sigma </math>. The square root of variance is called the standard deviation. | ||
− | *In <math>VARP( | + | *In <math>VARP()</math>, Parameters are numbers based on a population. Here First Parameter is required. From the second parameter are optional. |
*To find the variance we can use the following formula: | *To find the variance we can use the following formula: | ||
<math>Variance= \frac{\sum (x_i-\bar{x})^2}{n-1}</math> | <math>Variance= \frac{\sum (x_i-\bar{x})^2}{n-1}</math> | ||
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#=VARP(A1:F2) = 31.4284222222 | #=VARP(A1:F2) = 31.4284222222 | ||
#=VARP(30,32,37,41,TRUE) = 199.76 | #=VARP(30,32,37,41,TRUE) = 199.76 | ||
− | #=VARP(40,61,53,46,FALSE) = | + | #=VARP(40,61,53,46,FALSE) = 449.2 |
==Related Videos== | ==Related Videos== | ||
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==References== | ==References== | ||
*[http://en.wikipedia.org/wiki/Variance Variance] | *[http://en.wikipedia.org/wiki/Variance Variance] | ||
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+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 16:31, 8 August 2018
VARP()
- Parameters are set of numbers.
- VARP(),calculates variance based on the entire population.
Description
- This function gives the variance based on the entire population.
- Variance is a measure of dispersion obtained by taking the mean of the squared deviations of the observed values from their mean in a frequency distribution.
- i.e.,variance is a measure of how far each value in the data set is from the mean.
- It is denoted by . The square root of variance is called the standard deviation.
- In , Parameters are numbers based on a population. Here First Parameter is required. From the second parameter are optional.
- To find the variance we can use the following formula:
where is the sample mean of and is the sample size.
- Suppose which is indicating all the values are identical.
- When is non-zero then it is always positive.
- This function is considering our given data is the entire population.
- Suppose it should consider the data as the sample of the population, we can use the VAR function.
- 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 VARPA 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 | |
---|---|---|---|---|---|---|
1 | 40 | 45 | 60 | 24 | 72 | 81 |
2 | 10.21 | 11.65 | 17.81 | 15.02 | 18.18 | 27.41 |
- =VARP(A1:F1) = 377.555555556
- =VARP(A1:F2) = 31.4284222222
- =VARP(30,32,37,41,TRUE) = 199.76
- =VARP(40,61,53,46,FALSE) = 449.2
Related Videos
See Also
References