Getting a JMP Start
August 3, 10, 17, 24, 31
September 7, 14, 21, 28
1 pm ET (10 am PT)

JMP 101: Fast Track to Mastering the JMP Student Edition
August 30
September 7, 13, 14
2 pm ET (11 am PT)

Visual Business Intelligence: Transaction-based Business Process Improvement and Optimization
August 9, 2007
New York, NY

Instant Insight: Interactive and Visual Data Mining with JMP
August 28
Dallas, TX

Visual Business Intelligence: Transaction-based Business Process Improvement and Optimization
September 20, 2007
New York, NY

Design of Experiments: A Practitioner's Perspective
September 26
San Diego, CA

Design of Experiments: A Practitioner's Perspective
September 27
Irvine, CA

Design of Experiments: A Practitioner's Perspective
September 28
Phoenix, AZ

Innovators' Summit
October 14-16
Traverse City, MI

JSM / ASA
July 29-August 2
Salt Lake City, UT

American Sociological Association
August 11-14, 2007
New York, NY

New Applications for MDA
August 15-17
Washington, DC

PNWSUG (Pacific Northwest SAS User Group Meeting)
September 17-18, 2007
Seattle, WA

UC San Diego Biotechnology Vendor Showcase
September 27, 2007
San Diego, CA

ASQ Southwest Conference
September 29, 2007
Casa Grande, AZ

They wrote the books on innovation. Help them write the next chapters. Join world-renowned speakers from academia and business to see how data visualization inspires innovation.

For the first-ever Innovators' Summit Oct. 14-16 at the Grand Traverse Resort and Spa in Traverse City, MI, JMP is bringing in knowledge leaders to share best practices for creative problem-solving, process improvement and innovation. Make plans now to hear Dick De Veaux, Stu Hunter, Brad Jones, Doug Montgomery, Chris Nachtsheim and others.
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Engineering firm NNE Pharmaplan uses DOE to optimize production processes in pharmaceutical companies.

A famous article in The Wall Street Journal expressed it this way: "Pharmaceutical manufacturing techniques lag far behind those of potato chip and laundry-soap makers." The need for streamlined production processes has become more important than ever.
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JMP presents a complimentary seminar, "Instant Insight: Interactive and Visual Data Mining with JMP," featuring Dick De Veaux, August 28, in Dallas.

Data mining is the exploration and analysis of large data sets, by automatic or semiautomatic means, with the purpose of discovering meaningful patterns. These patterns, or rules, are then used for decision making via a process known as knowledge discovery. Much exploratory data analysis and inferential statistics concern the same problems. What's different about data mining? What's similar? We will attempt to answer these questions by looking at a series of case studies using tools typically found in the data miner's toolbox.
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Learn how to perform basic statistical analyses from Elementary Statistics Using JMP. This reader-friendly guide bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results.
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The June issue of Manufacturing Business Technology talks about smart global manufacturing.

Crystal balls may be the stuff of myth, but for Tim Rey, leader of the data mining and modeling group at Midland, Mich.-based Dow Chemical, assessing the future is serious business.

"We sell into practically every global market," says Rey. "It pays for us to monitor macroeconomic forces."

Dow operates 156 sites in 37 nations, resulting in $46 billion in annual revenue. With that much volume, any one of thousands of variables can adversely influence profits. Rey's job is to use business intelligence (BI) to stack the odds in Dow's favor. Software from JMP and SAS help him do just that.
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Want to familiarize yourself with the JMP Student Edition so you can start using it immediately to master the statistics covered in your course? Just register for "JMP 101: Fast Track to Mastering the JMP Student Edition," our interactive online course. It's free and takes just 45 minutes.
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Want a personal, in-depth tour of JMP 7's new features from one of our lead developers? You can find it on the JMP Blog. R&D Chief Richard Potter explains Menu Merge, File System and Projects in our growing list of blog entries.
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JMP Student Edition is a 12-month streamlined version of JMP statistical discovery software that contains all the statistics covered in first-year and intermediate college statistics courses. JMP Student Edition is bundled with textbooks and available exclusively through college bookstores.

By selecting textbooks that bundle JMP Student Edition, professors enable students to use visual, interactive software to learn statistics.

Publishers offering JMP Student Edition textbook bundles for the 2007-2008 academic year include McGraw-Hill, W.H. Freeman and Pearson Education.
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