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
My previous blog post discussed two new options in the JMP 10 Distribution platform for customizing the summary statistics and default quantiles reports. This blog post discusses another new JMP 10 feature for the Distribution platform for continuous data: Custom Quantiles. This feature gives the user even more customization options for studying
In my previous post, I talked about the fundamental quantities that affect the ability of a designed experiment to detect non-negligible effects of the factors. These are: 1) The size of the effect 2) The root mean squared error (RMSE) of the fitted model 3) The significance level of the
A few months ago, I published a series of articles about the various ways to get high-quality graphics out of JMP. If you missed them, here are the links: Graphical output options using JMP Preparing print-ready graphics that look great using JMP Print-ready graphics from JMP: Step-by-step video tutorial New
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,
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
JMP software is used for making important and compelling business points and scientific discoveries. Having worked in the software industry for a number of years, I’ve also found an interesting personal reliance on JMP to answer simpler questions in my daily life. I realized this recently as I maneuvered through
I received the following report from Nicola Tilt, Senior Statistician at Procter & Gamble, on the UK JMP Users Group meeting that took place last week. Nicola is chairing the next users forum in the UK in September, which John Sall will be attending: It was another day well spent
Among other kinds of factors, the Custom Designer in JMP has a mechanism for adding factors with values that are not controllable but are known in advance of experimentation. I call these factors covariate factors, although in regression analysis covariates have a slightly different meaning. Can you provide a realistic
Yesterday I posted about the different ways to move your JMP data table from your desktop to your iPad, so you can use it with JMP Graph Builder for iPad. Once you've done that, you'll most likely want to share your discoveries with other people. Sharing is one of those