Analyzes data and displays the results in easy-to-read statistics, graphs and charts. It embeds an assistant capable of interpreting the results.
If you are involved in quality management or general statistics, especially in an educational institution, this software is a must for you and your students. MINITAB is very comprehensive statistical software that is used to improve quality of monitored products. And it also eases statistics education for all people. With this software, you will be able to improve your students' skills.
The program has a highly intuitive interface and is ideal for teaching and learning. The developers have minimized the changes made to the user interface in newer versions, so that you don’t have to re-learn the software again or update your support and training materials after upgrading.
Minitab contains a whole set of already tested methods so that you do not need to buy separate modules or add-ins. It also shows the methods and formulas used in calculations. It has hundreds of sample data sets. It is compatible with any curriculum, i.e. the statistics and graphs always parallel the approach used in nearly all leading textbooks.
With 50 new enhancements, the software has something for everyone, whether you want it to be easy to use or extensive in terms functionality. Many companies worldwide depend on this program for their data analysis.
v16.20.100 [Oct 12, 2011]
Let Minitab’s Assistant menu lead you through your analysis.
Follow an interactive decision tree to determine the right approach.
Easily select the correct tool and review guidelines to ensure your analysis is successful.
Save time conducting your analysis using a simplified interface.
Use Minitab-generated interpretations to understand and respond to your results.
Present your findings using detailed, comprehensive reports.
Display Descriptive Statistics
Choose to display all, none, or your default statistics.
1 Variance
Perform a hypothesis test for the variance or standard deviation.
2 Variances
Perform a hypothesis test for variances or standard deviations.
Specify a one- or two-sided alternative hypothesis.
Specify a hypothesized ratio.
Compare samples using built-in graphs.
General Regression
Easily specify interaction and polynomial terms.
Include both continuous and categorical predictor variables.
Calculate confidence intervals for regression coefficients.
Transform the response variable using the Box-Cox transformation.
Nonlinear Regression
Fit a nonlinear model using a catalog of expectation functions, or specify your own function.
Orthogonal Regression
Fit a model for a predictor variable that has error.
Binary Logistic Regression
Calculate confidence intervals for event probabilities.
Store event probabilities in the worksheet for all or unique observations.
Ordinal and Nominal Logistic Regression
Event probabilities stored in the worksheet for all observations.
Partial Least Squares
Easily specify interaction and polynomial terms.
Include both continuous and categorical predictor variables.
One-Way ANOVA
Evaluate comparisons using a grouping information table.
General Linear Model
Calculate predicted values for new observations.
Evaluate comparisons using a grouping information table.
Split-Plot Designs
Create and analyze designs with hard-to-change factors.
Additional Enhancements
Easily view longer factor names in the Terms dialog.
Display sum of squares for individual terms.
Randomize a design and sort by run order in one step.
Attributes Charts
Create P' and U' charts to monitor defectives and defects with large subgroup sizes.
Rare Event Charts
Monitor rare events with G and T charts.
Nelson Estimate Method
Create Individuals and I-MR charts using the Nelson estimate for standard deviation.
Pareto Chart
Create Pareto charts using a more flexible interface.
Capability Analysis
Access the Box-Cox and Johnson transformations in one location.
PPM included on the Sixpack™.
Option to display Benchmark Z’s (sigma level) on the Sixpack™.
Tolerance Intervals
Calculate tolerance intervals for normal and nonnormal distributions.
Gage Run Chart
Create a run chart with missing data (unbalanced studies).
Crossed and Nested Gage R&R
Calculate confidence intervals.
Expanded Gage R&R
Analyze studies with missing data (unbalanced studies).
Analyze studies that have more than two factors.
Include terms that are crossed or nested.
Include factors that are fixed or random.
Create Attribute Agreement Analysis Worksheet
Create a data collection worksheet for Attribute Agreement Analysis.
Attribute Agreement Analysis
Display a disagreement summary table when known standard values are provided.
Principal Components Analysis
Display Mahalanobis distances using an outlier plot.
Store Mahalanobis distances in the worksheet.
1 and 2 Proportions
Use simplified fields to specify input values.
Plackett-Burman Design
Specify the number of corner points using a dropdown field.
New Power and Sample Size Tools
Sample Size for Estimation
Paired t
1- and 2-Sample Poisson Rates
1 and 2 Variances
General Full Factorial Design
New Tutorials
Learn how to use Minitab’s most popular tools with 45 new tutorials.
Meet Minitab
Easily access this guide to getting started from the Help menu.
Sample Data Sets
New sample data sets available, including those used in StatGuide.
Languages
Access Minitab in seven languages.
Improved Performance
Quickly import datasets.
Open larger project files even faster.
Run your analysis even faster.
Export to PowerPoint and Word
Export output directly to Microsoft PowerPoint or Word.
Line Plot
Choose to display Y as a percent.
Tally Individual Variables
Store results in the worksheet.
DMAIC Toolbar
Use Manage Profiles to easily access the popular toolbar that organizes statistical tools according to the DMAIC roadmap.
