Difference between revisions of "Manuals/calci/VARPA"
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− | <div style="font-size:30px">'''VARPA( | + | <div style="font-size:30px">'''VARPA()'''</div><br/> |
− | * | + | *Parameters are set of numbers. |
+ | **VARPA(),calculates variance based on the entire population, including numbers, text, and logical values. | ||
==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>VARPA( | + | *In <math>VARPA()</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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#=VARPA(A1:F2) = 31.4284222222 | #=VARPA(A1:F2) = 31.4284222222 | ||
#=VARPA(12,23,34,45,true) = 242 | #=VARPA(12,23,34,45,true) = 242 | ||
− | #=VARPA(12,23,34,45,FALSE) = | + | #=VARPA(12,23,34,45,FALSE) = 250.96000000000004 |
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|2evEY6MTxZQ|280|center|Sample Variance}} | ||
==See Also== | ==See Also== | ||
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==References== | ==References== | ||
+ | *[http://en.wikipedia.org/wiki/Variance Variance] | ||
+ | |||
+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 00:22, 1 July 2019
VARPA()
- Parameters are set of numbers.
- VARPA(),calculates variance based on the entire population, including numbers, text, and logical values.
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 VARA function.
- The arguments can be either numbers or names, array,constants or references that contain numbers.
- Also we can give the text representations of numbers or logical values , like TRUE or FALSE, in a reference.
- Suppose the arguments containing TRUE which is evaluate as 1, and the arguments containing FALSE which is evaluate as 0.
- Suppose the array contains the empty cells and text values like that values are not considered.
- Suppose the function don't want to consider the logical values and text representations of numbers in a reference , we can use the VARP 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 |
- =VARPA(A1:F1) = 377.555555556
- =VARPA(A1:F2) = 31.4284222222
- =VARPA(12,23,34,45,true) = 242
- =VARPA(12,23,34,45,FALSE) = 250.96000000000004
Related Videos
See Also
References