**Instructions:** Compute the inverse cumulative score for the standard normal probability distribution. Provide a cumulative probability \(p\) (a value on the interval [0, 1]), and the solver will find the z-value \(z\) so that \(\Pr(Z \le z) = p\).

## More about this Inverse Cumulative Standard Normal Probability Calculator

This *Inverse Cumulative Standard Normal Probability Calculator* will compute for you a score \(z\) so that the cumulative standard normal probability is equal to a certain given value \(p\). Mathematically, we find \(z\) so that \(\Pr(Z \le z) = p\).

**Example:** Assume that \(Z\) has a standard normal distribution variable. Let us assume we want to compute the \(z\) score so that the cumulative normal probability distribution is 0.89. The z-score associated to a cumulative probability of 0.89 is

This value of \(z_c = 1.227\) can be found with Excel, or with a normal distribution table. Follow this link to compute normal probabilities

For a more general normal distribution, you can use this cumulative distribution grapher for generic normal distributions to instead compute cumulative values.

In case you have any suggestion, or if you would like to report a broken solver/calculator, please do not hesitate to **contact us**.