Calculates the right-tailed chi-squared distribution, often used in hypothesis testing.

Sample Usage

CHIDIST(3.45, 2)



CHIDIST(x, degrees_freedom)

  • x - The input to the chi-squared probability distribution function. The value at which to evaluate the function.

    • Must be a positive number.

  • degrees_freedom - The number of degrees of freedom of the distribution.


  • degrees_freedom is truncated to an integer if a non-integer is provided.

  • degrees_freedom must be at least 1 and may not exceed 10^10.

  • All arguments must be numeric.

  • CHIDIST is synonymous with CHISQ.DIST.RT.

See Also

CHIINV: Calculates the inverse of the right-tailed chi-squared distribution.

CHISQ.DIST: Calculates the left-tailed chi-squared distribution, often used in hypothesis testing.

CHISQ.DIST.RT: Calculates the right-tailed chi-squared distribution, which is commonly used in hypothesis testing.

CHITEST: Returns the probability associated with a Pearson’s chi-squared test on the two ranges of data. Determines the likelihood that the observed categorical data is drawn from an expected distribution.

FDIST: Calculates the right-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution.

GAMMADIST: Calculates the gamma distribution, a two-parameter continuous probability distribution.

TDIST: Calculates the probability for Student's t-distribution with a given input (x).


Suppose you want to test the fairness of a 6-sided die:

  • From several rolls, you obtain a chi-squared statistic of 12.3.

  • The number of degrees of freedom is 6 - 1 = 5.

  • We will evaluate the chi-squared distribution with 5 degrees of freedom when x equals 12.3.

  A B C
1 x Degrees freedom Solution
2 12.3 5 0.03090046464
3 12.3 5 =CHIDIST(12.3, 5)
4 12.3 5 =CHIDIST(A2, B2)
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