Dear JMP® User,
Turning the calendar to July brings more than the summer heat – it’s also time for the new July-December JMP training catalog. There are links below for you to either download a PDF or order a hard copy. We have courses scheduled through the end of December, so be sure to take a look at the public course schedule.
If you want us to come to you, mentoring is a great way to receive private training on a topic you want most. JMP training offers mentoring for both JMP and Six Sigma topics. This learning format provides you with expert assistance to help you navigate your business challenges and implement a viable solution. You get to learn with an expert by your side and with your own data.
We offer several learning formats, so take a look and see which one works best for you and your company.
Without further ado, take a look below for some exciting things happening in JMP training!
PS: If you haven’t signed up already and would like to continue receiving JMP Training: News and Views, please sign up to be on our interest list.
|New July-December Catalog
The July-December JMP training catalog is now available.
Order a copy
Classic Versus Custom DOE
The Classic Design of Experiments course is aimed at helping users properly choose and use one of the classic or traditional kinds of designs, as taught in Six Sigma training courses. Such designs have served scientists and engineers well for more than 80 years.
The Custom Design of Experiments course focuses on how to design experiments using the latest statistical methods. These designs are capable of reproducing all of the classic or traditional designs but in a much simpler way. Custom design allows for experiments that are impossible by the classic or traditional design approaches, and provides students with the fundamental principles of experimental design.
Six Sigma and Performance Excellence
Are you new to Six Sigma? Our
Executive Overview for Six Sigma course presents an overview of Six Sigma concepts and helps you determine if your organization is ready for implementation.
Explorers Seminar Series
Training at the Discovery Summit
Explorers Series rounds out 2010 with seminars featuring Dick De Veaux on data mining and Douglas Montgomery on design of experiments.
Discovery Summit 2010
When: September 13-16
Where: SAS headquarters, Cary, NC
We have some great courses for this year’s Discovery Summit, which will be conducted pre- and post- conference on Monday, Sept. 13, and Friday, Sept. 17. These will be topics that we do not teach during our regular course schedule, so take advantage of this exclusive opportunity to receive JMP training!
Paul Marovich resides in Cary, NC. He has a master’s degree in statistical computing from the University of Central Florida. Marovich has used SAS® for 31 years and JMP for 11 years. He started working for SAS more than 14 years ago, spending the last 12 years with SAS Education. Before coming to SAS, Marovich was a SAS programmer for Lockheed Martin. In addition to teaching JMP courses, he also teaches SAS and SAS® Enterprise Guide® courses and mentors local AP statistics instructors. His students often describe his teaching style as “energetic” and “full of enthusiasm.” The most enjoyable part of his job is encouraging students to “know thy data” with descriptive statistics and graphs. He is an avid recycler and spends his spare time with his wife, son and miniature long-haired Dachshund, Moose. On the weekends, he does yard work by day and reads by night.
Tips and Tricks
Have you ever created different data tables (or spreadsheets) with variant sets of data to be analyzed separately? Rather than record the variant sets across different data tables, you can keep them all in one place using row state columns.
Using the Big Class data set (found under Examples for Teaching in Sample Data under the Help menu), create a new Row State column entitled “Girls Field Hockey” (Cols → New Column…). Remember to choose the Row State as the Data Type in the center of the dialog box. Select OK.
Notice the new column shows the default state. All observations are represented by little black squares; none are excluded, hidden or selected. Use the data filter to select all the male students (Rows → Data Filter → sex → Add → M). Next, Hide and Exclude all the male students. Now, click on the star symbol next to "Girls Field Hockey" in the Columns Panel and choose “Copy from Row States.”
The Girls Field Hockey column now records the Row States. You can now do whatever you want with the Row States of the current data table and still be able to return the Row States for analysis only on female students. For example, select Rows → Clear Row States. Now all row states are gone. To restore hiding and excluding the boys, click on the star symbol next to the column "Girls Field Hockey" in the Columns Panel and select "Copy to Row States."
You can either "Copy" to/from the Row States or "Add" to/from the Row States. The difference is that Copy will overwrite whatever is recorded, whereas Add complements what was already there in either the Row States area of the data table or the targeted Row State Column.
This tip was provided by Wayne Levin, JMP Instructor.
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