Statistical
CHISQ.INV Function in Excel
Returns the inverse of the left-tailed probability of the chi-squared distribution.
Syntax
- =CHISQ.INV(probability, deg_freedom)
Arguments
- probability (required): Probability (0 to 1)
- deg_freedom (required): Degrees of freedom
Examples
- =CHISQ.INV(0.95, 5) - Chi-squared critical value - Result: 11.07
CHISQ.INV for data analysis
- Confirm whether you need entire columns, filtered subsets, or distinct values.
- Use [COUNTIFS](/functions/countifs/) and [SUMIFS](/functions/sumifs/) for multi-criteria metrics.
- Pivot tables complement single-cell statistical formulas for exploration.
Common errors
- #NUM! if probability not between 0 and 1
Use cases
- Critical values
- Hypothesis testing
- Confidence intervals
Frequently asked questions
- What is the CHISQ.DIST function in Excel? CHISQ.DIST returns the chi-squared distribution, essential for statistical hypothesis testing, goodness-of-fit tests, and testing independence in contingency tables.
- When do I use CHISQ.DIST for data analysis? Use CHISQ.DIST for testing if observed data fits expected patterns, comparing categorical variables, validating survey results, and quality control in manufacturing.
- What are degrees of freedom in CHISQ.DIST? Degrees of freedom equal the number of categories minus 1 (for goodness-of-fit) or (rows-1)×(columns-1) for independence tests. It determines the shape of the distribution.
- How do I interpret CHISQ.DIST results? Lower p-values (typically <0.05) suggest significant differences between observed and expected data. Higher values indicate the data fits the expected pattern well.
Editorial review
- Reviewed by Excel.Directory Editorial Team. Updated May 2026.