Difference between revisions of "Manuals/calci/VARPA"

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<div style="font-size:30px">'''VARPA(n1,n2,n3…)'''</div><br/>
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<div style="font-size:30px">'''VARPA()'''</div><br/>
*<math>n1,n2,n3,... </math>  are numbers.
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*Parameters are set of numbers.
  
 
==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(n1,n2,n3,...)</math>, <math>n1,n2,n3,...</math>are numbers based on a  population. Here <math>n_1</math> is required.<math> n2,n3,...</math> are optional.  
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*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>  

Revision as of 16:53, 12 June 2018

VARPA()


  • Parameters are set of numbers.

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

Spreadsheet
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
  1. =VARPA(A1:F1) = 377.555555556
  2. =VARPA(A1:F2) = 31.4284222222
  3. =VARPA(12,23,34,45,true) = 242
  4. =VARPA(12,23,34,45,FALSE) = 250.96000000000004

Related Videos

Sample Variance

See Also

References