Minitab 22 Features & Enhancements
Minitab Statistical Software Version 22.1.0 is available to customers who manage their Minitab subscription in the Minitab License Portal. This release includes new features and enhancements.
New Statistical Methods
New Statistical Methods
Nonparametric Capability Analysis
- Nonparametric Capability is in the Stat > Quality Tools > Capability Analysis menu.
User Benefit
Nonparametric Capability provides a robust solution to evaluate the capability of a process without any assumptions about the distribution of the data.
Summary
Automated Capability Analysis
- Automated Capability is included in the Stat > Quality Tools > Capability Analysis menu.
User Benefit
Summary
Automated Capability determines the appropriateness of the normal distribution and automatically presents alternative distribution fits or transformations. You can also use process knowledge to choose a different method from the automatic selection.
Evaluate Measurement Process (EMP Crossed)
- Evaluate Measurement Process (EMP Crossed) is included in the Stat > Quality Tools > Gage Study menu.
User Benefit
Summary
Improvement: One-Proportion Hypothesis Test and Confidence Intervals
User Benefit
Summary
New: Interactive Tabulated Statistics
New: Interactive Pareto Chart
- Interactive Tabulated Statistics tool is now in Graph > Graph Builder.
User Benefit
Summary
Improvement: Additional Graph Editing Capabilities for Interactive Graphs
- Show/hide gridlines at major tick positions
- Add reference lines on continuous scales
- Add Y-value data labels
- Customize graph size with an option to maintain aspect ratio
User Benefit
Interactively customize your results with new graph editing features.
Summary
- Show/hide gridlines at major tick positions
Display or hide gridlines at major tick positions on an existing graph. - Add reference lines
Add reference lines at values along a continuous scale on an existing graph. - Add Y-value data labels
Display Y-value labels for primary data representations on an existing graph. For example, this feature adds data labels to outliers on a boxplot or bars on a bar chart. - Customize the graph height and width
Change the height and/or width of an existing graph. An option is available to maintain the aspect ratio of a graph when you specify one dimension.
Minitab 21 Features & Enhancements
Minitab 21.4.2 provides important bug fixes.
Feature Addition: Reliability Module
Nonparametric Capability Analysis
- Nonparametric Capability is in the Stat > Quality Tools > Capability Analysis menu.
User Benefit
Summary
Feature Addition: Research and Development Module
User Benefit
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.
Summary
This update includes our proprietary MARS® Regression feature which expands upon Minitab’s predictive analytics capabilities to create accurate predictive models for a continuous response with many continuous and categorical predictor variables. Minitab 21.4 also includes graph editing enhancements and the ability to update or create new results for some statistical features when data change.
New Feature: Multivariate Adaptive Regression Splines (MARS)
User Benefit
Summary
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.
New Feature: Interactive Graph Editing
- Add Regression Fit for Scatterplot & Matrix Plot
- Add Percentile Line for Probability Plot
- Adjust Probability Plot Y-Scale
- Adjust Histogram Binning
User Benefit
Summary
- Add Regression Fit for Scatterplot & Matrix Plot
This feature provides the option to add a regression fit to an already-created scatterplot or matrix plot via the editing pane and specify the type as well as whether to include the y-intercept. Add Percentile Line for Probability Plot
This feature provides the option to add percentile lines at specified values along the X or Y scale to an already-created probability plot. Note: this option will apply to the selected graph only.Adjust Probability Plot Y-Scale
This feature will provide the option to change the Y-scale type between percent, probability, and score on an already-created probability plot. Note: this option will apply to the selected graph only.Adjust Histogram Binning
This feature provides the option to change the interval type on the X-scale (binning) between midpoint and cutpoint as well as the interval definition for binning by specifying the number of intervals or choosing custom midpoint/cutpoint positions on a histogram. Note: this option will apply to the selected graph only.
Visualizations
Features Update: New Graphs Added
- Interval Plot
- Matrix Plot
User Benefit
These new graphs are useful when working with a large sample size and assessing relationships between several pairs of variables at once.
Summary
Feature Addition: Measurement System Analysis Module
User Benefit
Minitab’s Helps users streamline problem-solving without worrying about selecting which analysis to use.
Summary
Minitab’s Measurement System Analysis Module provides guided data analysis to solve the most common MSA challenges. Explanations are provided for each analysis, while our industry-leading technical support team is available via phone or email to help.
Feature Addition: Sample Size Module
User Benefit
Summary
Minitab’s Sample Size Module provides guided data analysis to estimate the required sample size to determine whether the analysis you want to perform will have enough power to meet your needs.
Feature Addition: Insurance Module
User Benefit
Minitab’s Insurance Module helps to provide data-driven insights into opportunities to improve customer satisfaction, increase revenue, and control expenses.
Summary
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.
Statistical Method
New Time Series Update: Augmented Dickey-Fuller Test
User Benefit
Summary
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.
Statistical Method
New Time Series Update: Box-Cox Transformation
User Benefit
Box-Cox Transformation stabilizes the variance of a time series over time for better forecasting results.
Summary
Box-Cox Transformation is a technique available on the MSS Time Series menu. It is used to make the variance of transformed time series data unchanged over time.
Statistical Method
New Time Series Update: Forecasting Best ARIMA
User Benefit
The Forecasting Best ARIMA command will do the model selection analyses for the user automatically, saving them time from having to evaluate different ARIMA models themselves and selecting best model.
Summary
Forecasting Best ARIMA automatically forecasts the future values of a times series data set. The user can also select a simpler-but-equally-good alternative model to avoid any over-fitting problems. The user is empowered to decide whether the selected model can fit the data reasonably well and produce reliable forecasting results.
Visualizations
Graph Builder Update: New Graphs Added
- Line Plot
- Stacked Area Graph
- Pie Chart
User Benefit
These new graphs empower users to choose the best graph when utilizing Graph Builder for their analysis.
Summary
Graph Builder’s easy-to-browse gallery lets users seamlessly switch from one graph to the next using the same selection of data and without re-running your analysis. Users will now be able to select newly added graphs from Graph Builder: Line Plot, Stacked Area Graph, and a Pie Chart.
Minitab Statistical Software now offers two optional add-on modules for professionals who want guided analyses for supply chain operations or customer contact centers.
Feature Addition: Supply Chain Module
User Benefit
Summary
Our Supply Chain Module empowers supply chain experts and professionals to leverage data analysis to tackle any challenges faced in their supply chain.
Feature Addition: Customer Contact Center Module
User Benefit
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.
Summary
The Customer Contact Center Module empowers customer contact experts and professionals to leverage data analysis to tackle any challenges faced in customer care.
Our latest release, Minitab Statistical Software Version 21.1.0 is available to customers who manage their Minitab subscription in the Minitab License Portal. This release includes new features and bug fixes.
Statistical Method Cox Regression
Addition: The Cox Regression command is included under the Reliability menu. Models can be fit:
- with fixed predictors only
- in a counting process form
User Benefit
Cox Regression is a method for investigating the effect of several variables upon the time it takes for a specified event to happen.
Summary
Cox Regression, also known as Proportional Hazards Regression, is one of the most popular regression techniques for survival outcomes.
Visualizations
New: Interactive Probability Plot in Graph Builder
Addition: An interactive probability plot is now available in Graph Builder.
• Select fits from 14 distributions
User Benefit
The graph builder gallery will fit probability plots for continuous variables.
Summary
Graph Builder now includes an interactive probability plot.
Additions
Automated Machine Learning in Predictive Analytics Module
User Benefit
It is common for researchers to try a few different machine learning models when evaluating their data. This new AutoML feature will evaluate the following models:
- Classification and Regression Trees (CART®)
- TreeNet®
- Random Forests®
- Regression
Summary
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.
Minitab 20 Features & Enhancements
Minitab Statistical Software has been updated to include an additional visualization, Bubble Plot, in Graph Builder. This update is also compatible with Minitab’s Healthcare Module, our optional add-on purpose built with healthcare professionals in mind.
Feature Addition: Healthcare Module
User Benefit
Summary
Minitab’s Healthcare Module empowers healthcare experts and professionals to leverage data analysis to tackle any challenges faced in healthcare
Minitab Statistical Software has been updated to include Graph Builder, a new way to revisualize your data and explore graph alternatives with an interactive and easy-to-browse gallery.
Addition
Graph Builder
User Benefit
Quickly create and choose the visualization that best displays your insights with our interactive, easy-to-browse gallery that let’s you seamlessly switch from one graph to the next using the same selection of data and without re-running your analysis.
Summary
Graph Builder gives you the power to create and change visualizations quickly, so you can focus on choosing the right visual to accurately communicate your insights and achievements.
This update includes additional visualizations, integrations and general improvements.
Updated Visualization
Variables for Binned Scatterplot, Parallel Coordinates Plot, and Heat Map
User Benefit
Graphs can be split by variables faster, removing the need to first subset the data before creating these graphs.
Summary
In each of these dialogs, grouping variables can be designated using the By Variable section.
Improvement: Lag
User Benefit
Lagged columns are commonly used in time series modeling and supervised machine learning, such as CART, TreeNet, and Random Forests. This improvement allows for faster data preparation.
Summary
Numerous lag columns can be easily generated for one or multiple time series columns. This command is located in Stat-Time Series-Lag.
Addition
R Integration
Call R scripts from Minitab Statistical Software. R is a language and environment for statistical computing and graphics.
R scripts can run in 3 ways:
- Run the RSCR in the command line pane
- Run a Minitab exec that includes the RSCR command
- Customize the interface to run a Minitab exec that includes the RSCR command
Summary
Execute external R scripts that use Minitab Statistical Software variables (columns, constants, matrices) as inputs. Results are returned to Minitab and displayed in the output navigator and output pane.
Addition
Minitab’s Predictive Analytics Module
User Benefit
Tree-based methods empower predictive analytics with not only speed to answer, but also remarkable accuracy and ease of interpretation. Users can quickly understand the key drivers of a process.
Summary
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.
Addition
Random Forests®
New Feature: Random Forests consists of many individual decision trees that operate as an ensemble.
User Benefit
Random Forests generally provides better predictive power than a single decision tree.
Summary
Based on a collection of CART Trees, Random Forests leverages repetition, randomization, sampling, and ensemble learning in one convenient place that brings together independent trees and determines the overall prediction of the forest.
Addition
TreeNet® (Gradient Boosting)
New Feature: TreeNet Classification and TreeNet Regression. Includes Fit Model and Discover Key Predictor submenus.
User Benefit
Gradient boosting can deliver optimal prediction accuracy and unique insights.
Summary
Our most flexible, award-winning and powerful machine learning tool, TreeNet Gradient Boosting, is known for its superb and consistent predictive accuracy due to its iterative structure that corrects combined errors of the ensemble as it builds.
New Visualizations
Correlogram
User Benefit
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.
Summary
The correlogram makes it easy to visualize a matrix or correlations, particularly when the number of variables is large.
Minitab Available on the Cloud
Minitab is now accessible Now from anywhere on the Cloud
- Access from nearly any device
- Available as both our desktop and new web app
- Share projects with a single click
- Access and store from Google DriveTM, Microsoft OneDrive® or local files
- Single sign-on available
Improvements
Interface Improvement: Multi-Select in the Navigator
User Benefit
Selecting a range of output makes it easier for users who need to remove or send output from the Navigator.
Summary
One of the top feedback items from users, this improvement makes sending or removing multiple items from the navigator much easier.
Improved Model Selection for Classification and Regression Trees
User Benefit
Users can see the decision tree, model and node details in a single view, making alternative model selection easier than ever.
Summary
When users choose to view an alternative tree, a single view provides them with detailed information for all possible models.
Model Validation in Binary Logistic Regression and Poisson Regression
Variability Chart
User Benefit
Validation is the process of evaluating a trained model on a test data set. This feature makes it easier for users to create useful models.
Summary
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.
Visualizations
Variability Chart
1. The ability to specify multiple response variables for a given set of factors – this results in multiple graphs, one for each response.
2. The ability to brush individual observations.
User Benefit
It is easy to create multiple variability charts with a single click. Also, exploring data is easier with the added ability to brush individual observations.
Summary
The Variability chart dialog can now support multiple responses, and brushing points is available when interacting with the graph.
New Visualizations
Parallel Coordinates Plot
User Benefit
Summary
New Visualizations
Binned Scatterplot
User Benefit
Summary
New Visualizations
Heat Map
User Benefit
Summary
Heatmaps are located in the Graph menu, between the bar and pie Charts. When you have a large number of factor levels, they may be easier than a bar chart to communicate areas that are different.
