Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- JMP Wish List
- :
- Clopper Pearson Confidence Interval for One Proportion as an Option in Distribut...

Options

- Subscribe to RSS Feed
- Mark as New
- Mark as Read
- Bookmark
- Subscribe
- Email to a Friend
- Printer Friendly Page
- Report Inappropriate Content

Clopper Pearson Confidence Interval for One Proportion as an Option in Distribution Platform

Status:
Open for Voting
Submitted by
gerd
on
03-12-2018
10:38 AM

It would be nice to have an option that **Clopper-Pearson ("Exact") Intervals (and Bounds)** be reported **in the Distribution Platform, additionally to Score Confidence Intervals**. This could be a setting in the Platform Preferences or an option under the red triangle menu for "Confidence Intervals" or additional Columns in "Confidence Intervals".

**This is not a matter of arguing that one interval is better than the other (it is known that Clopper-Pearson Intervals are overly conservative) but rather a matter of offering a method that many people (and regulatory bodies) are familiar with.**

There is a JMP "Calculators" Skript (under Help -> Sample Data -> Calculators -> Confidence Interval for One Proportion) that offers this type of interval, but it's not editable, e.g. if one is interested in the proportion of "Fails", these can only be labelled "Successes", and when working with raw data it doesn't recognise hidden and excluded rows.

There is a Discussion in the Community about this topic where one user provided a formula solution (from the Hahn & Meeker book on Statistical Intervals):

It is nice to have at least these options, but for reporting purposes both workarounds are not a good option.

The following picture shows the Distribution Platform output on the left and the Calculators-tool (Clopper-Pearson) output on the right:

See more ideas labeled with:

- Find more ideas tagged with:
- Clopper Pearson
- confidence interval
- distribution
- preferences
- Proportion

2 Comments

You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.