Table of Contents
The CHISQ.INV function in Google Sheets is a mathematical tool that allows users to calculate the inverse of the chi-squared cumulative distribution. This function takes in two parameters: probability and degrees of freedom, and returns the critical value for the given cumulative probability. By using this function, users can easily determine the value of chi-squared that corresponds to a specific probability, making it useful for statistical analysis and hypothesis testing. Simply input the required parameters and the function will automatically calculate the inverse of the chi-squared distribution, providing a quick and efficient way to perform calculations and analyze data in Google Sheets.
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
0and less than1.
degrees_freedom– The number of degrees of freedom of the distribution.
Notes
degrees_freedomis truncated to an integer if a non-integer is provided.degrees_freedommust be at least1.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) |
Cite this article
stats writer (2024). How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-can-i-use-the-chisq-inv-function-in-google-sheets-to-calculate-the-inverse-of-the-chi-squared-cumulative-distribution/
stats writer. "How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?." PSYCHOLOGICAL SCALES, 30 Jun. 2024, https://scales.arabpsychology.com/stats/how-can-i-use-the-chisq-inv-function-in-google-sheets-to-calculate-the-inverse-of-the-chi-squared-cumulative-distribution/.
stats writer. "How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-can-i-use-the-chisq-inv-function-in-google-sheets-to-calculate-the-inverse-of-the-chi-squared-cumulative-distribution/.
stats writer (2024) 'How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-can-i-use-the-chisq-inv-function-in-google-sheets-to-calculate-the-inverse-of-the-chi-squared-cumulative-distribution/.
[1] stats writer, "How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.
stats writer. How can I use the CHISQ.INV function in Google Sheets to calculate the inverse of the chi-squared cumulative distribution?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.