Tag: Control Charts

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Celebrating statisticians: Walter Shewhart

The statistician we are celebrating for the month of July in this International Year of Statistics is known as the “father of statistical quality control”: Walter A. Shewhart. Birth/Death: Shewhart was born in New Canton, Illinois, on March 18, 1891. He died on March 11, 1967, in Troy Hills, New Jersey.

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"Quality time" with the Ramírez family

Award-winning authors Brenda Ramírez and José G. Ramírez were our guests for the March installment of Analytically Speaking. If you missed their webcast, it’s now available on demand. During the interview, they discussed how traditional quality techniques – when updated with the latest advances in analytics and data visualization –

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What’s a three-way chart, and why would I need one?

When I was at the JMP Discovery Summit last year, several people asked me, “What’s a three-way chart and why would I need one?” Not everyone needs one, but some might. In this blog post, I’ll tell you more about them and why you might want to use them. The

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Three-way charts, an evolution of the Presummarize Control Chart

Many years ago, we added the Presummarized control charts to JMP version 5 at the request of folks in the semiconductor industry. While there are many types of Presummarized control charts, one of the most common is the chart called, “Individuals on Group Means,” which plots the subgroup average just

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Nesting variables in the Control Chart Builder

In my first Control Chart Builder blog post “Control Charts are easy in JMP 10,” I used a column named “Date” on the X-axis. When I downloaded the data, it didn’t arrive as a date; I had to create the date column from the original month and year columns. Traditionally,

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Custom Tests in the Control Chart Builder in JMP 10

In my last blog post, I noted that the Control Chart Builder is an overhaul of the older Control Chart platform. One of the most requested features for Control Charts was to offer a way to customize the tests that flag out-of-control samples. I’m happy to report that the new

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Control Charts are easy in JMP 10

  JMP 10 introduces a snazzy way to create control charts with a new platform called Control Chart Builder. JMP's prior Control Charts were designed over two decades ago for the classic process engineer in manufacturing and were past due for an overhaul. The more we listened to which customers