This function returns the inverse of the left-tailed chi-squared (χ²) distribution.
- Given a probability (cumulative probability), it finds the corresponding χ² value (x) such that:
- If probability = CHISQ.DIST(x; df; TRUE), then CHISQ.INV(probability; df) = x.
- Used to determine critical values for hypothesis testing (e.g., goodness-of-fit tests).
Syntax
CHISQ.INV(probability; degrees_freedom)
Arguments
| Argument | Required? | Description |
| probability | Yes | A cumulative probability (0 ≤ probability < 1). |
| degrees_freedom | Yes | Degrees of freedom (positive integer). |
Background
- Inverse Chi-Squared Distribution:
- Solves for x in:
P(X≤x)=probabilityP(X≤x)=probability
-
- Where:
- P = Cumulative probability (area under the left tail).
- x = Chi-squared statistic.
- Where:
- Left-Tailed vs. Right-Tailed:
- CHISQ.INV(): Left-tailed inverse (returns the χ² value for a given cumulative probability).
- CHISQ.INV.RT(): Right-tailed inverse (returns the χ² value for 1 – probability).
- Key Applications:
- Hypothesis Testing: Find critical values to reject/fail to reject the null hypothesis.
- Confidence Intervals: Calculate bounds for variance estimates.
Example
The CHISQ.DIST() function is the inverse function of CHISQ.INV().

Key Notes
- Degrees of Freedom (df):
- Determines the shape of the χ² distribution. For a contingency table, df = (rows – 1) * (columns – 1).
- Common Use Cases:
- Goodness-of-Fit Tests: Compare observed vs. expected frequencies (e.g., Mendel’s pea experiments).
- Independence Tests: Check if two categorical variables are related.
- Error Handling:
- Returns #NUM! if:
- probability ≤ 0 or ≥ 1.
- degrees_freedom < 1.
- Returns #NUM! if: