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Excel T.TEST Function

Author: Amanda Li Last Modified: 2022-08-20

The T.TEST function returns the probability that is associated with a Student's t-test. T.TEST is often used to test the probability of two samples that have underlying populations with the same mean.

Note: The T.TEST function was introduced in Excel 2010. So, it is not available in earlier versions of Excel. For the users of earlier versions of Excel, please use the TTEST function.

t.test function 1


Syntax

=T.TEST(array1, array2, tails, type)


Arguments

  • array1 (required): The first data set.
  • array2 (required): The second data set.
  • tails (required): The number of distribution tails to use. This must be either:
    • 1, to use the one-tailed distribution;
    • 2, to use the two-tailed distribution.
  • type (required): The number that determines which type of t-test to perform:
    • 1, to perform a paired t-test;
    • 2, to perform a two-sample equal variance t-test;
    • 3, to perform a two-sample unequal variance t-test

Return Value

The T.TEST function returns a numeric value.


Function Notes

  • If tails and type are not integers, they will be truncated.
  • T.TEST returns the #N/A error if array1 and array2 have a different number of data points, and you want to perform a paired t-test (type=1).
  • T.TEST returns the #VALUE! error if either of the supplied tails and type is non-numeric.
  • T.TEST returns the #NUM! error if:
    • tails is any value other than 1 or 2;
    • type is any value other than 1, 2 or 3.

Example

To calculate the probability associated with a Student's paired t-test, with one and two-tailed distribution, please copy or enter the formulas below in the corresponding result cells, and press Enter to get the results.

=T.TEST(B6:B12,C6:C12,1,1)

=T.TEST(B6:B12,C6:C12,2,1)

t.test function 2


Related functions

Excel TTEST Function

The TTEST function returns the probability that is associated with a Student's t-test. TTEST is often used to test the probability of two samples that have underlying populations with the same mean.


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