The Minitab License Manager is required for Multi-User Desktop License installation configurations. Selecting the option below that corresponds with your Operating System will download a compressed file that includes two installation files, one for English and one for other languages. See the Minitab Installation Guide for more details.
The Minitab License Manager is required for Multi-User Desktop License installation configurations. Selecting the option below that corresponds with your Operating System will download a compressed file that includes two installation files, one for English and one for other languages. See the Minitab Workspace Installation Guide for more details. (15 MB)
The Minitab License Manager is required for Multi-User Desktop License installation configurations. Selecting the option below that corresponds with your Operating System will download a compressed file that includes two installation files, one for English and one for other languages. See the Minitab Installation Guide for more details. (15 MB)
The Reliability Module equips engineers with the tools they need to perform warranty analysis, use life data models, and conduct reliability/Weibull analysis. With these features, you can identify and eliminate issues with your products, ensuring they function smoothly and reliably for your customers.
With its intuitive interface and comprehensive set of tools, Minitab's Research and Development Module empowers professionals in the R&D field to delve into complex data analysis with the best tools right at their fingertips.
MARS is our latest advanced predictive analytics solution that uncovers important data patterns and relationships that are difficult, if not impossible, for other regression methods to reveal. The MARS modeling engine builds its model by piecing together a series of straight lines, with each allowed its own slope. This permits the MARS modeling engine to trace out any pattern detected in the data.
A matrix plot is a matrix of scatterplots that display two-way relationships between a set of variables. The Interval plot displays a t confidence interval for the mean. Confidence intervals can be displayed for multiple variables and subsets of the data. Since it is important to provide some options associated with the confidence interval methods, Minitab presents proper confidence intervals under various scenarios for user convenience.
Written with insurance industry professionals in mind, Minitab's Insurance Industry Module provides guided data analysis to solve common insurance industry challenges. Shift your focus to improving key performance indicators (KPIs) like Time to Settle a Claim, Revenue per Policy Holder and Claims Ratios without worrying about which analysis to use.
Minitab Statistical Software has added Forecast with Best ARIMA Model, Augmented Dickey-Fuller Test, and Box-Cox Transformation to our Time Series features. Graph Builder now includes Line Plot, Stacked Area Graph, and Pie Chart and enhancements to Histogram and Time Series Plot. For compliance reasons, this software release also ensures that users on high school subscriptions cannot navigate to our website from within our apps (Minitab Statistical Software web, Minitab Statistical Software desktop, and License Portal).
Augmented Dickey-Fuller Test determines whether differencing makes the mean of the data stationary. This command is used to determine the nonseasonal differencing order when you analyze your time series data with an ARIMA model.
Direct prompts, statistical guidance, and support pages are specifically written for supply chain professionals in familiar terminology so they can focus on improving key performance indicators (KPIs) like cycle time, inventory, delivery, quality, profitability, and costs without worrying about which analysis to use.
Direct prompts, statistical guidance, and support pages are specifically written for customer contact center professionals in familiar terminology so they can focus on improving key performance indicators (KPIs) like service level, utilization and cost, ticket volume, time management, ticket resolution, and customer satisfaction without worrying about which analysis to use.
Validation prevents model overfitting, which is an important aspect in machine learning. This feature is now available in the Predictive Analytics menu and within Stat-Regression, Stat-Binary Logistic Regression and Stat-Poisson Regression.
Direct prompts, statistical guidance, and support pages are specifically written for healthcare professionals in familiar terminology so they can focus on improving key performance indicators (KPIs) like wait time, costs, utilization, patient safety, and patient satisfaction without worrying about which analysis to use.
Our proprietary, best-in-class, tree-based machine learning algorithms not only have the power to provide deeper insights and visualize multiple complex interactions with decision trees but are equipped to handle larger data sets with more variables, messy data, missing values, random outliers, and non-linear relationships. These methods are now available in a module that you easily add to Minitab Statistical Software.
Correlograms are useful for finding important correlations when faced with many variables. Viewing correlations as a color gradient is an alternative approach to displaying a matrix plot or a table of correlation statistics.
Validation prevents model overfitting, which is an important aspect in machine learning. This feature is now available in the Predictive Analytics menu and within Stat-Regression, Stat-Binary Logistic Regression and Stat-Poisson Regression.
Phone, email, and online support is available for the current release of the desktop products and for one year after they are no longer widely distributed. This support includes assistance with installation and deployment, product activation, maintenance releases, licensing, use of the software and interpretation of the output.
Phone, email, and online support is available for the cloud-based products including assistance with access to and use of the products, interpretation of the output, and installation of the desktop components.
*The Support End Date in the table above references when customers will no longer receive support with use of the software, interpretation of output, installation, product activation, and licensing help. In some cases, Minitab Technical Support may provide limited licensing support for an additional period past the Support End Date as described above.
The Minitab License Manager software is utilized in multi-user installations. This software manages the licensing information and allows Minitab applications to launch. As with our main products, we enhance and upgrade our License Manager solutions and as such, need to sunset older versions. The chart below outlines the currently supported versions of the Minitab License Manager and the compatible versions of Minitab applications. We encourage all our customers to be on the latest versions of all of our solutions to take advantage of our world class support, features and functionality.
In some cases, our technical support staff may provide assistance with statistical concepts as part of answering a question about software use. But questions that are clearly about statistical concepts are referred to our statistical consultants, all of whom are seasoned statisticians with years of quality improvement experience.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972. It began as a light version of OMNITAB, a statistical analysis program by National Institute of Standards and Technology.
Minitab, LLC also produces other software that can be used in conjunction with Minitab;[7] Minitab Connect helps businesses centralize and organize their data, Quality Trainer is an eLearning package that teaches statistical concepts, Minitab Workspace provides project planning and visualization tools, and Minitab Engage[8] is a tool for Idea and Innovation Management, as well as managing Six Sigma and Lean manufacturing deployments.
In October 2020, Minitab launched the first cloud-based version of its statistical software.[9] As of June 2021, the Minitab Desktop app is only available for Windows, with a former version for MacOS (Minitab 19.x) no longer being supported.[1]
Apparently an update was pushed for Minitab 17 and my current version shows 17.2. In this new version, all control charts created with a macro now show footnotes in the trends. The default now shows "Data points used for the calculations: 1-100" and "Results include rows where [conditions used show here]"
I researched the documentation on Minitab.com and spoke with a representative. There is currently no option to remove these automated footnotes as a default setting through the Tools>Options settings (which is how you edit other footnote defaults). I would recommend reaching out to Minitab and letting them know this is a feature you would like to see added to a future version of Minitab.
I am trying to push Minitab 21.1.1. The install is failing immediately after copying and returning a 1602 error. I activated the log switch and files says I have a reboot pending. I've rebooted and retried multiple times with no change. I was able to get this working with the same switches for the 20.1.1 version with no issue. The switches haven't changed from the 20.1.1 deployment document. I can literally switch the exe file from 21 to 20 in pdq and the software will install correctly.
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