JMP for Six Sigma in Financial Services
Wednesday, June 1
Wednesday, June 15
Thursday, June 16

Uncovering Hidden Opportunities in Banking Services
Monday, July 11
Wednesday, July 13

JMP for Six Sigma
Monday, July 18
Wednesday, July 20

Accessing and Manipulating Data with JMP
Monday, July 25
Wednesday, July 27

There are no JMP seminars scheduled at this time.

JMP User Conference
June 7-8
Cary, NC

JSM / ASA 2005
August 7-11
Minneapolis, MN

The second annual JMP® User Conference is almost here! The conference is being held June 7-8 at SAS World Headquarters in Cary, NC. Now is your last chance to register.

The conference will bring together users of all levels and include special sessions customized for JMP novices and company executives. Developed and designed for JMP users, this conference will be followed by two-days of training, June 9-10, offering dynamic courses on popular JMP topics.

As an added bonus, attendees of the New Features in JMP 6 courses associated with conference will receive a free 30-day pre-release, non-supported copy of JMP 6. It's just one more reason to come to the conference and to take a course or two, besides being the first to attend courses premiering at the conference.
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Let us show you how to explore financial services data using interactive descriptive statistics and modeling to rapidly characterize your existing customer base.

In this free webinar, you'll see how recursive partition is used as a time-saving discovery tool at the beginning of the Analyze phase in the DMAIC process to identify customers associated with high variation.
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The JMP approach to data analysis emphasizes the philosophy that a picture is worth a thousand numbers. There are many occasions in statistical analysis where raw numbers hide essential relationships or facts. A few outliers or an unexpected skew in the numbers can result in a high correlation between variables when, in fact, there is no relationship between them. Or, there could be an unsuspected nonlinear relationship that eludes a correlation analysis. In these cases it's important to have other ways to look at an analysis. We need tools which help us see what's really going on in our data.
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Want to be notified every time the JMP website has an update? There's now an easy way to do just that. We've recently added an RSS feed which highlights recent updates.

What is RSS? RSS stands for "Really Simple Syndication" (or "Rich Site Summary," depending on who you ask). Basically, it allows you to subscribe to websites via an RSS news reader, which works similar to a web browser (in fact, some browsers have them built in). RSS news readers give you a quick list of recent articles on the websites to which you subscribe.

To subsribe to JMP's RSS feed, just add http://www.jmp.com/jmprss.xml into your news reader to receive JMP website updates as they become available. JMP offers the RSS Feeds subject to the SAS Terms of Use. Your subscription to and continued use of the RSS Feeds constitutes your acceptance of these terms.

This is part of an on-going series, featured on the JMP website, called "Well, What Do You Know?" Every month or so, we add a new, interesting story about the field of statistics.

When Dragnet debuted on radio in 1949, Americans got their first look at the inner-workings of the modern police department. Each episode was based on an actual case from Los Angeles police files, and was filmed "documentary-style" for maximum realism. Created by writer/actor/director Jack Webb, Dragnet was "the story of your police force in action."

Long before C.S.I. and other police procedural shows, Dragnet introduced Americans to the immense amount of work required to solve a crime. Among these, though perhaps not as glamorized, was a call to the "Stats Office." In the TV and radio incarnations of Dragnet, as well as his book The Badge (Prentice-Hall, 1958, currently available from Thunder's Mouth Press), Webb often told how this was the first stop for detectives after leaving a crime scene.
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Need to quickly find selected cells in a large data table? It can be tedious to scroll through large tables, searching for highlighted cells. To quickly locate the next selected row, just press F3. Press F2 to go back to the previous selected row. You can also use the Next Selected and Previous Selected commands in the Rows menu.