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VARPIF (Array,Condition,SumArray)

  • is the set of values.
  • is the particular condition value.


  • This function gives the variance based on the entire population which satisfies the given condition.
  • In , is the set of values.
  • is the particular condition which satisfies the variance values.
  • 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.
  • 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.


  1. VARPIF([12,32,45,10,56],">10") = 268.1875
  2. VARPIF([14.2,67.3,19.34,20.6,16.02,78.4,54.9],">21") = 92.1355555555556
  3. VARPIF([14.2,67.3,19.34,20.6,16.02,78.4,54.9],"<21") = 6.517400000000003

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Sample Variance

See Also