Statistical
FISHERINV Function in Excel
Returns the inverse of the Fisher transformation.
Syntax
- =FISHERINV(y)
Arguments
- y (required): Value to inverse transform
Examples
- =FISHERINV(0.973) - Inverse Fisher - Result: 0.75
FISHERINV 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
- Must be numeric
Use cases
- Correlation analysis
- Statistical transformation
- Confidence intervals
Frequently asked questions
- What is the FISHER function in Excel? FISHER performs Fisher's z-transformation on correlation coefficients, converting them to a normally distributed variable. This is essential for statistical tests involving correlations.
- Why do I need Fisher transformation for correlations? Correlation coefficients aren't normally distributed, making statistical tests unreliable. Fisher transformation normalizes them, allowing proper hypothesis testing and confidence intervals.
- How do I use FISHER in correlation analysis? Apply FISHER to correlation coefficients before statistical tests: =FISHER(CORREL(A:A,B:B)). Use FISHERINV to convert back to correlation scale after analysis.
- What values can I use with FISHER? FISHER accepts correlation coefficients between -1 and 1 (exclusive). Values of exactly -1 or 1 will cause errors since the transformation is undefined at these points.
Editorial review
- Reviewed by Excel.Directory Editorial Team. Updated May 2026.