CHISQ.INV

Calculates the inverse of the left-tailed chi-squared distribution.

Sample Usage

CHISQ.INV(0.42, 2)

CHISQ.INV(A2, B2)

Syntax

CHISQ.INV(probability, degrees_freedom)

  • probability - The probability associated with the left-tailed chi-squared distribution.

    • Must be greater than 0 and less than 1.

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

Notes

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

  • degrees_freedom must be at least 1.

  • All arguments 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.INV.RT: Calculates the inverse of the right-tailed chi-squared distribution.

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.

F.INV: Calculates the inverse of the left-tailed F probability distribution. Also called the Fisher-Snedecor distribution or Snedecor’s F distribution.

T.INV: Calculates the negative inverse of the one-tailed TDIST function.

Example

Suppose you want to find the cutoff for the chi-squared statistic associated with a left-tailed probability of 0.95. With 4 degrees of freedom, you can consider any chi-squared statistic larger than 3.36 to be statistically significant.

  A B C
1 Probability Degrees freedom Solution
2 0.95 4 9.487729037
3 0.95 4 =CHISQ.INV(0.95, 4)
4 0.95 4 =CHISQ.INV(A2, B2)
true
Visit the Learning Center

Using Google products, like Google Docs, at work or school? Try powerful tips, tutorials, and templates. Learn to work on Office files without installing Office, create dynamic project plans and team calendars, auto-organize your inbox, and more.

Search
Clear search
Close search
Google apps
Main menu
1756911625215999725
true
Search Help Center
true
true
true
true
true
35
false
false