CHISQ.DISTCalculates the left-tailed chi-squared distribution, often used in hypothesis testing.
Sample Usage
CHISQ.DIST(3.45, 2, TRUE)
CHISQ.DIST(A2, B2, TRUE)
Syntax
CHISQ.DIST(x, degrees_freedom, cumulative)
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.
cumulative – Logical value that determines the form of the function.
If TRUE: CHI.DIST returns the left-tailed cumulative distribution function.
If FALSE: CHI.DIST returns the probability density function.
Notes
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.
x and degrees_freedom must be numeric.
See Also
CHIDIST: Calculates the right-tailed chi-squared distribution, often used in hypothesis testing.
CHIINV: Calculates the inverse of the right-tailed chi-squared distribution.
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.
GAMMADIST: Calculates the gamma distribution, a two-parameter continuous probability distribution.
Example
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
0.01223870353
3
12.3
5
=CHISQ.DIST(12.3, 5, FALSE)
4
12.3
5
=CHISQ.DIST(A2, B2, FALSE)