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Minitab software on the client computer checks the environment variable MINITAB_LICENSE_FILE to determine the location of the License Manager. This location was specified during installation on the client computer.
On a Windows computer, the location of the License Manager is stored in three locations. To modify these values, you need to modify an environment variable, the registry, and the license.ini file.
The license file must exist in the License Manager's installation directory. On a Windows computer, this directory is in the following location: 64-bit version: C:\Program Files\Minitab\License Manager; 32-bit version: C:\Program Files (x86)\Minitab\License Manager
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Choose Help > About. Click Move License. Select Yes to confirm that you want to deactivate Minitab on the current computer. Select Save to text file to save the product key to a location on your computer. Activate Minitab on a new computer using the same product key. Move a license in Minitab Workspace. Start Minitab Workspace.
A test statistic is a standardized value that is calculated from sample data during a hypothesis test. The procedure that calculates the test statistic compares your data to what is expected under the null hypothesis. Each type of t-test uses a specific procedure to boil all of your sample data down to one value, the t-value.
If the license manager is on a Windows computer, you can get information about the license file by using lmtools.exe. It is located in the License Manager folder, which has a default location of: 64-bit version: C:\Program Files\Minitab\License Manager; 32-bit version: C:\Program Files (x86)\Minitab\License Manager
The lognormal distribution is a continuous distribution that is defined by its location and scale parameters. The 3-parameter lognormal distribution is defined by its location, scale, and threshold parameters.
You can move commands to a different location on a menu or toolbar. You can also remove any unused commands.
The largest extreme value distribution is defined by its location and scale parameters. Use the largest extreme value distribution to model the maximum value from a distribution of random observations.