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Excel COVARIANCE.P function

Author: Sun Last Modified: 2024-10-23
show the usage of COVARIANCE.P function

Description

The Excel COVARIANCE.P function returns the population variance of two data sets which is used to determine the relationship between two data sets.

Syntax and arguments

Formula syntax

COVARIANCE.P(array1,array2)

Arguments

  • Array1: Required, the first range of numbers.
  • Array2: Required, the second range of numbers.

Remarks

1. Array 1 and array 2 must be numbers, names, arrays or references that contain numbers.

2. Array 1 and array 2 must be equal in length, otherwise, COVARIANCE.P function returns #N/A error value.

3. If array 1 or array 2 contains text(s) or logical values or empty cells, COVARIANCE.P function will ignore them.

4. If either array 1 or array 2 is empty, the COVARIANCE.P function returns #DIV/0! error value.

5. The covariance is:
show the usage of COVARIANCE.P function
Where x ̅ and  y ̅ are the sample means AVERAGE(array1) and AVERAGE(array2), n is the sample size.

Version

Excel 2010 and later versions.

Usage and Examples

Basic usage

Here are two arrays in range B3:B8 and C3:C8, to get the relative population covariance, please, use the formula as this:

=COVARIANCE.P(B3:B7,C3:C7)

Press Enter key.
show the usage of COVARIANCE.P function

Other Functions:

  • Excel BETA.DIST Function
    The Excel BETA.DIST function (Excel 2013) returns the beta distribution which is usually used to study the percentage variation of something across samples.

  • Excel BETADIST Function
    The Excel BETADIST function (Excel 2010) returns the beta distribution which is usually used to study the percentage variation of something across samples.

  • Excel NORM.S.DIST Function
    The NORM.S.DIST calculates and returns the standard normal cumulative distribution function or probability density function of a value for an arithmetic mean of 0 and standard deviation of 1

  • Excel NORM.S.INV Function
    The NORM.S.INV calculates and returns the inverse of the standard normal cumulative distribution that has an arithmetic mean of 0 and standard deviation of 1 with a given probability.

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