Minitab LTD

 

Minitab Release Capabilities

The chart below will help you to compare the features and capabilities of the following versions and releases of Minitab Statistical Software:

  • Minitab 15
  • Minitab 14
  • Minitab Student 14
  • Minitab 13

You can also download a PDF of the Minitab Capabilities and Release Comparison Chart.

Click any of the following links to jump to the corresponding section of the chart.

*Enhanced in Minitab 15
Technical Support
Minitab Version1514Student 1413
Free technical support for eligible productsAll registered users (including students)Not eligibleRegistered instructorsNot eligible

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Worksheet Size
Minitab Version1514Student 1413
Number of worksheetsLimited only by system resourcesLimited only by system resources5Limited only by system resources
Number of cells per worksheetLimited only by system resourcesLimited only by system resources10,000Limited only by system resources
Number of columns4,0004,0004,0004,000

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Ease of Use
Minitab Version1514Student 1413
Menus and commands organized logically, matching texts and training materials
Project Manager: logically organizes analysis
ReportPadTM: report generator *
Clear, comprehensive Help system *
StatGuideTM: explains output *
Online tutorials
Glossary of statistical terms *
Reference of methods and formulas used in calculations * 
Smart dialog boxesTM remember recent settings
More than 300 real-world practice data sets *
Desktop access to maintenance updates   
Multiple language versions * 

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Data and File Management
Minitab Version1514Student 1413
Project files include all parts of analysis
Spreadsheet-like Data window
Easy copy / paste with Microsoft Excel *
Assign formulas to columns   
Multiple undo/redo in the Data window   
Autofill
Hide and unhide columns
Find and replace in Data window
Import/export: Excel, text, etc. *
Import/export: CSV, XML Spreadsheet   
Import Microsoft Excel workbook sheets individually 
Save output and data as HTML 
ODBC querying to import data from Access and other databases 
Currency and percent formats   
Data manipulation: merge, subset, sort, transpose, change data type
Matrix functions
File password protection   
Calculator with more than 100 functions for manipulations, calculations, and transformations of numeric, date/time, and text data *
Time functions: workdays, net workdays, elapsed time   
Text functions: left, right, mid, extract text, etc.   
Calculate percentiles   
IF conditions   
Combinations, permutations, and factorials   
Create indicator variables*
Double-precision worksheets

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Graphics
Minitab Version1514Student 1413
State-of-the-art graphics engine 
Simplified, pictorial graphics dialog boxes 
Editing of graph attributes
Interactively edit attributes (axes, scale, etc.) and recreate custom graphs with new data 
Intuitive tool to place multiple graphs on one page 
Information display tools: tooltips, crosshairs, plant flags 
Plant flags in DOE contour plots  
Set your own preferences for graph attribute defaults 
Graphs can update as data changes 
Built-in graphs: a variety of displays available with a single click
Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, pie charts, time series plots
Line plots   
Rotating 3D graphs  
Probability plots
Probability distribution plots   
Contour plots * 
Interval plots, individual value plots, area graphs, ECDF plots* 
Numerous special-purpose graphs
Display currency and percent formats on graphs   
OLE: edit Minitab graphs in other applications
Graph brushing
Save as TIF, JPEG, PNG, BMP
Save as GIF, enhanced metafile 

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Macros and Customizability
Minitab Version1514Student 1413
Customizable menus and toolbars 
Extensive preferences and user-editable profiles 
Complete command language
Powerful macro capability for automating tasks or creating new capabilities 
Minitab Automation (COM-enabled)   
MyMenu - add specialized functionality   

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Basic Statistics
Minitab Version1514Student 1414
Descriptive statistics*
Confidence intervals, one- and two-sample t-tests, paired t-tests
Confidence intervals, one and two proportion tests
Correlation and covariance
Normality test
One-sample variance test   
Test for equal variances
Confidence intervals, one- and two- sample Poisson rates   
Goodness-of-fit test for Poisson  
Hypothesis testing using summary statistics 

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Regression Analysis
Minitab Version1514Student 1413
Linear regression
Polynomial regression
Logistic regression• (only binary logistic regression)
Partial least squares (PLS)  
Stepwise and best subsets
Residual plots

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Analysis of Variance
Minitab Version1514Student 1413
ANOVA
General linear model (GLM) 
Unbalanced nested designs 
MANOVA 
Fully nested designs 
Analysis of means 
Multiple comparisons
Residual, main effects, and interaction plots

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Statistical Process Control (SPC)
Minitab Version1514Student 1413
Run chart
Pareto chart
Cause-and-effect diagram
Control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, MA, EWMA, P, NP, C, U *
Control charts: I-MR-R/S, CUSUM, zone * 
Multivariate control charts: T2, generalized variance, MEWMA *  
Custom tests for special causes
Individual distribution identification *  
Box-Cox transformation 
Johnson transformation *  
Historical/shift-in-process charts
Display control limit values for all stages   
Process capability: normal, nonnormal, attribute and batch * 
Process capability for multiple variables *  
Process Capability SixpackTM* 
Acceptance sampling for variables and attributes   
Multi-Vari chart 
Symmetry plot 

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Measurement Systems Analysis
Minitab Version1514Student 1413
Gage R&R worksheet design generator   
Gage R&R: ANOVA and XBar R methods* 
Nested Gage R&R 
Misclassification probabilities   
Type I Gage Study (single part)   
Attribute Gage Study - AIAG analytic method  
Attribute agreement analysis 
Gage linearity and bias 
Gage run chart 

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Design of Experiments
Minitab Version1514Student 1413
Two-level factorial designs 
General full factorial designs 
Plackett-Burman designs 
Response surface designs * 
Mixture designs 
D-optimal and distance-based designs * 
Taguchi designs 
User-specified designs 
Optimal designs - reduce number of runs for general factorial designs   
Analysis of variability for factorial designs  
Response prediction  
Analyze designs with botched runs 
Mixture plots 
Plots: residual, main effects, interaction, cube, contour, overlaid contour, surface, and wireframe * 
Half normal effects plot   
Response optimization * 

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Reliability/Survival Analysis
Minitab Version1514Student 1413
Parametric and nonparametric distribution analysis 
Goodness-of-fit measures 
ML and least squares estimates 
Exact failure, right-, left-, and interval-censored data 
Accelerated life testing 
Regression with life data 
Reliability test plans  
Threshold parameter distributions  
Analysis of multiple failure modes  
Pre-process warranty data   
Warranty prediction   
Probit analysis 
Weibayes analysis 
Hypothesis tests on distribution parameters 
Plots: distribution, probability, hazard, and survival 
One-sided confidence intervals for reliability test plans   

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Power and Sample Size
Minitab Version1514Student 1413
One-sample Z, t, and proportion
Two-sample t and proportion
One-way ANOVA
Two-level factorial and Plackett-Burman 
Power (OC) curves   

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Multivariate Analysis
Minitab Version1514Student 1413
Principal components analysis 
Factor analysis 
Biplot for principal components and factor analyses   
Cluster analysis 
Discriminant analysis 
Item analysis - Cronbach's alpha   
Correspondence analysis 

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Time Series and Forecasting
Minitab Version1514Student 1413
Time series plots
Auto-, partial auto-, and cross correlations *
ARIMA analysis
Trend analysis
Decomposition
Exponential smoothing
Winters' methods
Moving average

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Nonparametrics
Minitab Version1514Student 1413
Sign test
Wilcoxon test
Mann-Whitney test
Friedman test
Runs test
Mood's median test

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Tables
Minitab Version1514Student 1413
Cross-tabulations
Contingency tables
Chi-square test
Tally
Fisher's exact test 
Chi-square goodness-of-fit test — single categorical variable  

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Simulation and Distributions
Minitab Version1514Student 1413
Random number generator *
Density, distribution, and inverse cumulative distribution functions *
Random sampling

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