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LOGNORMDIST Function
Summary
The LOGNORMDIST function calculates the cumulative lognormal distribution for a specified value, where the natural logarithm of the value follows a normal distribution with given mean and standard deviation parameters. Ideal for modeling skewed positive data like stock prices, asset returns, and time-to-failure analysis.
Syntax
LOGNORMDIST(x, mean, standard_dev)
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| x | Number |
Yes | The positive value at which to evaluate the lognormal distribution |
| mean | Number |
Yes | The arithmetic mean of the natural logarithm of x (μ parameter) |
| standard_dev | Number |
Yes | The standard deviation of the natural logarithm of x (σ parameter) |
Using the LOGNORMDIST Function
LOGNORMDIST is used when data follows a lognormal distribution - common for positive skewed datasets. The function returns the probability that a lognormally distributed random variable is less than or equal to x. Use it for pricing options, calculating Value at Risk, or modeling growth processes.
Common LOGNORMDIST Examples
Basic Lognormal Distribution
=LOGNORMDIST(4, 3.5, 1.2)
Returns 0.0390836 - cumulative probability that lognormal variable ≤ 4 with μ=3.5, σ=1.2
Stock Price Probability
=LOGNORMDIST(100, LN(95), 0.2)
Probability that stock price reaches $100 given current $95 with 20% volatility
Time to Failure Analysis
=LOGNORMDIST(500, 6, 0.3)
Probability equipment fails before 500 hours with median 403 hours
Frequently Asked Questions
Common Errors and Solutions
#VALUE!
Cause: Non-numeric input for any argument
Solution: Ensure all parameters contain valid numbers
#NUM!
Cause: x ≤ 0 or standard_dev ≤ 0
Solution: Use only positive values for x and standard_dev
Unexpected small values
Cause: Very large standard_dev values
Solution: Verify parameters represent realistic log-transformed statistics
Notes
- Replaced by LOGNORM.DIST(x,mean,standard_dev,TRUE) for cumulative distribution
- Lognormal distribution: if LN(X) ~ N(μ,σ²) then X ~ Lognormal(μ,σ²)
- Common in Black-Scholes option pricing
- Given mean μ and std σ, median = EXP(μ), mode = EXP(μ-σ²)
Compatibility
Available in: Excel 2007+, Excel 2010, Excel 2013, Excel 2016, Excel 2019, Excel 365
Not available in: Excel 2003 and earlier
Content last reviewed: December 9, 2025
Update frequency: As needed
Excel versions tested: Excel 2007+, Excel 2010, Excel 2013, Excel 2016, Excel 2019, Excel 365