LOGINV function

This article describes the formula syntax and usage of the LOGINV  function in Microsoft Excel.

Description

Returns the inverse of the lognormal cumulative distribution function of x, where ln(x) is normally distributed with parameters mean and standard_dev. If p = LOGNORMDIST(x,...) then LOGINV(p,...) = x.

Use the lognormal distribution to analyze logarithmically transformed data.

Important   This function has been replaced with one or more new functions that may provide improved accuracy and whose names better reflect their usage. Although this function is still available for backward compatibility, you should consider using the new functions from now on, because this function may not be available in future versions of Excel.

For more information about the new function, see LOGNORM.INV function.

Syntax

LOGINV(probability, mean, standard_dev)

The LOGINV function syntax has the following arguments:

  • Probability    Required. A probability associated with the lognormal distribution.

  • Mean    Required. The mean of ln(x).

  • Standard_dev    Required. The standard deviation of ln(x).

Remarks

  • If any argument is nonnumeric, LOGINV returns the #VALUE! error value.

  • If probability <= 0 or probability >= 1, LOGINV returns the #NUM! error value.

  • If standard_dev <= 0, LOGINV returns the #NUM! error value.

  • The inverse of the lognormal distribution function is:

    Equation

Example

Copy the example data in the following table, and paste it in cell A1 of a new Excel worksheet. For formulas to show results, select them, press F2, and then press Enter. If you need to, you can adjust the column widths to see all the data.

Data

Description

0.039084

Probability associated with the lognormal distribution

3.5

Mean of ln(x)

1.2

Standard deviation of ln(x)

Formula

Description

Result

=LOGINV(A2, A3, A4)

Inverse of the lognormal cumulative distribution function, using the arguments in A2, A3, and A4.

4.0000252


Applies To: Excel 2016 Preview, Excel 2010, Excel Starter, Excel 2013, Excel Online, Excel 2016 for Mac, Excel for Mac 2011, Excel 2007



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