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ERFC.PRECISE Function
Summary
The ERFC.PRECISE function calculates the complementary error function, which is the integral of the Gaussian error function from a specified value x to infinity. This statistical function is essential for precise probability calculations in advanced data analysis.
Syntax
ERFC.PRECISE(x)
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| x | Number |
Yes | The numeric value representing the lower limit for ERFC integration |
Using the ERFC.PRECISE Function
ERFC.PRECISE delivers accurate complementary error function values crucial for statistical analysis, quality control, and scientific computing. Unlike the standard ERFC function, ERFC.PRECISE offers enhanced precision for better reliability in complex calculations.
Common ERFC.PRECISE Examples
Basic Complementary Error Function
=ERFC.PRECISE(1)
Returns the complementary ERF value for x=1, approximately 0.15729921, representing the tail probability beyond 1 standard deviation.
Statistical Probability Calculation
=ERFC.PRECISE(A1/√2)
Calculates normalized complementary error for standard normal distribution where A1 contains z-score value.
Frequently Asked Questions
Common Errors and Solutions
#VALUE!
Cause: Non-numeric input provided for x parameter
Solution: Ensure x contains only numeric values; use VALUE() function if converting from text
Notes
- Result approaches 0 as x increases (tail probability decreases)
- Result approaches 2 as x approaches negative infinity
- Critical for normal distribution tail probabilities
- Use with NORM.S.DIST for comprehensive statistical analysis
Compatibility
Available in: Excel 2010, Excel 2013, Excel 2016, Excel 2019, Excel 2021, Microsoft 365
Not available in: Excel 2007, Excel 2003, Earlier versions
Content last reviewed: December 9, 2025
Update frequency: As needed
Excel versions tested: Excel 2010+