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JSL - Inverse Probability Distribution

drblove

Contributor

Joined:

Nov 2, 2016

First off, thank you to everyone who is answer my myraid of questions... I am very greatful for your time.

 

I am trying to calculate an inverse of a normal distribution, like:

 

Z = Normal Inverse(p,mu,sigma);

 

I can only really find:

 

1 - p = Normal Distribution(Z, mu, sigma);

 

I know it must be available, but my googling skills are not helping me here...  I am also assuming that other common distributions are available

1 ACCEPTED SOLUTION

Accepted Solutions
drblove

Contributor

Joined:

Nov 2, 2016

Solution

Ok after more Googling I found the solution for this:

 

Z = Normal Quantile (p,mu,sigma);

 

It looks like this type of answer works for other distributions as well...  Hope this helps some one going forward.

2 REPLIES
drblove

Contributor

Joined:

Nov 2, 2016

Solution

Ok after more Googling I found the solution for this:

 

Z = Normal Quantile (p,mu,sigma);

 

It looks like this type of answer works for other distributions as well...  Hope this helps some one going forward.

markbailey

Staff

Joined:

Jun 23, 2011

Glad you got what you needed. In general, there is a very well-developed and mature support system for users. If you can see it, even if you don't know what it is, select the Help tool (Tools menu) and then click on it. If you know what it is, then search for it in the Help system. For scripting and functions, first go to the Help > Scripting Index. Click the button in the upper left and select Functions. The left-most list of function groups gives you a way to get 'in the neighborhood.' In your case, the Probability group has what you want. Select the group and then the second list populates with the functions. Select a function and the right side gives you proper syntax, a live example (run it!) and a button for detailed help if the index is not enough.

 

Also, you can hover over a functio a name in a script window for a quick review of syntax and purpose. Sweet.

Learn it once, use it forever!