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Jmp vs minitab11/26/2022 ![]() ![]() It is a data file I created for student coursework. It is a neat, logical arrangement to allow selfcontained areas of statistics to be explored without needs to understand everything before being able to make sensible progress.Įxample data.To investigate using Minitab, I used exactly the same data file that I used for the JMP review. The Data Window will contain the data you wish to analyse.Īccess to all graphical tools, such as histograms, scatterplots and 3-D surface plots, is via the single-menu item “Graph.” Similarly, all statistical analyses are stored under the general menu item “Stat.” Clicking on this opens up a sub-menu offering the following statistical analyses: basic statistics, regression, anova, DOE, control charts, quality tools, reliability/survival, multivariate, time series, tables, non-parametrics, EDA, power and sample size. But I guess that’s just me being prissy and neat! Figure 1: Initial screen of Minitab. I have never quite understood why, if the package works on the basis of “all output going to one report” that some bits of output don’t go to that report. Thus, at the end of the session, all of the output, except graphs and charts, will be contained in linear format in this window. It uses a two-window system: one called Worksheet, rather like a spreadsheet, for holding the data, and the other called Session, to which output of analyses is added. ![]() When Minitab is run, it opens to the screen shown in Figure 1. I was in a position to start working within minutes. I am pleased to report that Minitab installed simply and cleanly. IN SOME PAST software reviews for OR/MS Today (Holland, 2003, 2005) over the past few years I have encountered installation difficulties. My question is: Is Minitab best left to the heavyweight statistical user, or does it have something to offer everyone else as well? Installation Minitab is one of the big three (along with SAS and SPSS) in the statistical computing business. All those DOS-type commands one had to type, such as COPY C1 C2 and ARIMA (1,1), come back to me as a ghost from a pastlife when I used to be good at statistics! These days, desktop packages strive for menu-driven smoothness, and I was pleased to see that the new Minitab is no exception. My last encounter with Minitab was 20 years ago as an undergraduate working on analyzing Box-Jenkins forecasting problems on a mainframe computer. I am sure readers are aware that Minitab is a longestablished standard in the statistical analysis business and capable of much more than the basic use. ![]() The software review editor tells me that Minitab is almost synonymous with Six Sigma and is heavily favored by practitioners – JMP is a relative newcomer to Six Sigma – but Six Sigma is not a part of my review. This, therefore, sets the tone of my analysis of Minitab. I was mainly interested in how easy is it to get something meaningful out. I did not investigate the more advanced features because I was interested in considering whether JMP was a good option for the management science/operations research professional with either some data to get a handle on or to perform some basic statistical analysis on. The focus of my review of JMP was on the user-friendliness of performing basic statistical analyses. Set up the plan Simulation for line T- shirt (using Arena Software), Jean in order to practise and select the best improvement plan.I RECENTLY COMPLETED a software review for OR/MS Today of JMP 6.0.3, so I thought it would be interesting to write a comparative review for Minitab 15 – a statistical package versus a statistical package. Set up the plan of Lean service to improve department of technology in factory 4, increase productivity, reduce wasted time, improve communication and processing (Applied some Lean service tools: Audit 5s, Kaizen action sheet system (KASS), Key goals visual focus chart (KGVFC), SIPOC – R, Skill management, Value stream, A day in the life of a staff…) Built completely line leader job description and customer surveys for NBC. Set up the plan quick changeover of sewing lines, built completely project of Lean munufacturing criteria for Nha Be garment corporation (NBC) and audited Lean manufacturing all factories garment in NBC. Set up the plan of Lean munufacturing to improve sewing lines in order to increase productivity and decrease production costs (Applied some Lean tools: Balancing line, Standardized work, TPM, Quick changeover…). 2014 - 2017 Project Leader NHA BE GARMENT CORPORATION ![]()
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