Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation.
The NORM.INV function syntax has the following arguments (argument: A value that provides information to an action, an event, a method, a property, a function, or a procedure.):
- Probability Required. A probability corresponding to the normal distribution.
- Mean Required. The arithmetic mean of the distribution.
- Standard_dev Required. The standard deviation of the distribution.
- If any argument is nonnumeric, NORM.INV returns the #VALUE! error value.
- If probability <= 0 or if probability >= 1, NORM.INV returns the #NUM! error value.
- If standard_dev ≤ 0, NORM.INV returns the #NUM! error value.
- If mean = 0 and standard_dev = 1, NORM.INV uses the standard normal distribution (see NORMS.INV).
Given a value for probability, NORM.INV seeks that value x such that NORM.DIST(x, mean, standard_dev, TRUE) = probability. Thus, precision of NORM.INV depends on precision of NORM.DIST.
The example may be easier to understand if you copy it to a blank worksheet.
How do I copy an example?
- Select the example in this article. If you are copying the example in Excel Online, copy and paste one cell at a time.
Important: Do not select the row or column headers.
Selecting an example from Help
- Press CTRL+C.
- Create a blank workbook or worksheet.
- In the worksheet, select cell A1, and press CTRL+V. If you are working in Excel Online, repeat copying and pasting for each cell in the example.
Important: For the example to work properly, you must paste it into cell A1 of the worksheet.
- To switch between viewing the results and viewing the formulas that return the results, press CTRL+` (grave accent), or on the Formulas tab, in the Formula Auditing group, click the Show Formulas button.
After you copy the example to a blank worksheet, you can adapt it to suit your needs.
||Probability corresponding to the normal distribution
||Arithmetic mean of the distribution
||Standard deviation of the distribution
||Inverse of the normal cumulative distribution for the terms above (42)