I agree that the two methods are not the same.  Here is an example that may be a little extreme, but is useful:  Suppose you are tracking recordable injuries per month at your company location via process behavior charts.  Some months there are zero injuries, some months there are 1, or 2, o3 , etc.  If the average number of recordable injuries per month is low (< 6), then the data is "chunky" (see Dr. Donald Wheeler articles on Chunky data), and the control chart method does not yield yield useful results/conclusions.  HOWEVER, if you track by "Days between recordable injuries", the control chart works quite well. What is the distribution of the data?  What does it matter?  The I-MR chart does not require the data to have a particular distribution!  ... View more

Thanks Jeff;  You can do the same thing in Graph Builder.  I do that or, if I want to save the script, I just edit the script to the Y-axis name I want......and I am nobody's script writer! 😉 ... View more

I used to have the same problem.  The easiest solution for me was to change the Excel date column from "General" (or whatever) to "Short Date".  Then copy/paste or import intoJMP.  Works every time! ... View more

Your data is very skewed in terms of sample size.  Perhaps you should consider running a Definitive Screening Design with a consistent sample size of perhaps 500.  Barring running a DOE, I do not see anything that excites me when I analyze your data in various platforms. ... View more

bj,  Based on your latest input, perhaps you need to analyse your data with some predictive modelling technique such as neural networking or partitioning. ... View more

You need to read Dr. Donald Wheeler's paper:  Transforming the Data Can Be Fatal to Your Analysis   The misguided love affair with the normal distribution must come to an end!   ... View more

Perfect! Thank-you. ... View more

billw,  Right, BUT the title goes to a 44 font and the slide orientation goes to landscape.  Besides, the procedure you mention is NOT "one click" as advertised.  To me, it is just as easy to select, copy, and paste into PowerPoint, but this is tedious when you have 20 charts/graphs to transfer. ... View more

When JMP 12 was launched, one could supposedly transfer a JMP output table or chart to PowerPoint with a "single click".  I was never able to accomplish this and am still copying and pasting from JMP to PPT one item at a time.  Minitab does an excellent job of sending output to PPT.  You just right-click the chart's name and select "Send To Microsoft PowerPoint".  Minitab automatically opens PPT and transfers the chart, or if PPT is already open, the chart is appended after the last PPT slide.  It would sure be nice if JMP could do this, or am I missing something?  Thanks! ... View more

For individuals/moving range charts, you should always use the following formulas for computing limits: Limits for Individuals chart = average ± 2.66 * average moving range Upper limit for mR chart = 3.268 * average moving range As Dr. Wheeler says in his articles on the right and wrong ways to do control charts, "Accept no other limits". ... View more

If I may add a point here:  If I assume your data is in time order (a requirement for a control chart), then you definitively have two populations in your data.  The first 9 data points comprise one population and the remaining 20 points comprise the second.  You can calculate Capability Indices for both populations separately, but to calculate a Capability for the entire data set is meaningless.  Any process must be in a "reasonable degree of statistical control" before one can calculate meaningful Capability Indices.  Your first question from this data set should be, "What happened to the process between somewhere around data points 9 and 10 that caused the process to shift upwards."  If the special cause of the shift is a good thing, you need to understand what the cause is and modify the system to make this permanent. I hope this helps. ... View more