Click the red triangle next to the variable in Distribution and select **CDF Plot**. You can explore the probabilities (vertical axis) for any of the quantile values (horizontal axis). From the same menu, you can select **Save** > **Probability Scores**. These probabilities are for the given data and use the *empirical distribution* (non-parametric estimates).

There are many distribution functions available to column formulae and to scripts. See **Help** > **Scripting Index**, select **Functions** at the top left and then select either **Probability** or **Discrete Probability**, depending on the nature of your distribution. For example, if I am using a normal distribution to model my data, then I would select **Probability** and then select the **Normal Quantile** function for the desired result:

For eample, I fit the normal distribution model to the **height** data in the **Big Class** data table.

I can now use the parameter estimates with the Normal Quantile() function to determine the probability I want:

In this case, I used the function in a script editor and obtained the result in the embedded log.

Learn it once, use it forever!