Minitab

Minitab
	Minitab 17 running on Windows 8
Developer(s)	Minitab, Inc.
Stable release	18.1 / June 7, 2017
Operating system	Windows
Type	Statistical analysis
License	Proprietary software
Website	minitab.com

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 1972. It began as a light version of OMNITAB, a statistical analysis program by NIST. Statistical analysis software such as Minitab automates calculations and the creation of graphs, allowing the user to focus more on the analysis of data and the interpretation of results. It is compatible with other Minitab, Inc. software.

History

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 1972. It began as a light version of OMNITAB, a statistical analysis program by NIST; the documentation for OMNITAB was last published 1986, and there has been no significant development since then.^[1] Minitab is distributed by Minitab, Inc., a privately owned company headquartered in State College, Pennsylvania.

Features

Features that are included in the Minitab 18 package.

Assistant

Measurement systems analysis
Capability analysis
Graphical analysis
Hypothesis tests
Regression
DOE
Control charts

Graphics

Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, time series plots, etc.
Contour and rotating 3D plots
Probability and probability distribution plots
Automatically update graphs as data change
Brush graphs to explore points of interest
Export: TIF, JPEG, PNG, BMP, GIF, EMF

Basic Statistics

Descriptive statistics
One-sample z-test, one- and two-sample t-tests, paired t-test
One and two proportions tests
One- and two-sample Poisson rate tests
One and two variances tests
Correlation and co-variance
Normality test
Outlier test
Poisson goodness-of-fit test

Regression

Linear and nonlinear regression
Binary, ordinal and nominal logistic regression
Stability studies
Partial least squares
Orthogonal regression
Poisson regression
Plots: residual, factorial, contour, surface, etc.
Stepwise and best subsets
Response prediction and optimization

Analysis of Variance

ANOVA
General linear models
Mixed models
MANOVA
Multiple comparisons
Response prediction and optimization
Test for equal variances
Plots: residual, factorial, contour, surface, etc.
Analysis of means

Measurement Systems Analysis

Data collection worksheets
Gage R&R Crossed
Gage R&R Nested
Gage R&R Expanded
Gage run chart
Gage linearity and bias
Type 1 Gage Study
Attribute Gage Study
Attribute agreement analysis

Quality Tools

Run chart
Pareto chart
Cause-and-effect diagram
Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, I-MR-R/S, zone, Z-MR
Attributes control charts: P, NP, C, U, Laney P’ and U’
Time-weighted control charts: MA, EWMA, CUSUM
Multivariate control charts: T2, generalized variance, MEWMA
Rare events charts: G and T
Historical/shift-in-process charts
Box-Cox and Johnson transformations
Individual distribution identification
Process capability: normal, non-normal, attribute, batch
Process Capability SixpackTM
Tolerance intervals
Acceptance sampling and OC curves

Design of Experiments

Definitive screening designs
Plackett-Burman designs
Two-level factorial designs
Split-plot designs
General factorial designs
Response surface designs
Mixture designs
D-optimal and distance-based designs
Taguchi designs
User-specified designs
Analyze variability for factorial designs
Botched runs
Effects plots: normal, half-normal, Pareto
Response prediction and optimization
Plots: residual, main effects, interaction, cube, contour, surface, wireframe

Reliability/Survival

Parametric and nonparametric distribution analysis
Goodness-of-fit measures
Exact failure, right-, left-, and interval-censored data
Accelerated life testing
Regression with life data
Test plans
Threshold parameter distributions
Repairable systems
Multiple failure modes
Probit analysis
Weibayes analysis
Plots: distribution, probability, hazard, survival
Warranty analysis

Power and Sample Size

Sample size for estimation
Sample size for tolerance intervals
One-sample Z, one- and two-sample t
Paired t
One and two proportions
One- and two-sample Poisson rates
One and two variances
Equivalence tests
One-Way ANOVA
Two-level, Plackett-Burman and general full factorial designs
Power curves

Multivariate

Principal components analysis
Factor analysis
Discriminant analysis
Cluster analysis
Correspondence analysis
Item analysis and Cronbach’s alpha

Time Series and Forecasting

Time series plots
Trend analysis
Decomposition
Moving average
Exponential smoothing
Winters’ method
Auto-, partial auto-, and cross correlation functions
ARIMA

Nonparametrics

Sign test
Wilcoxon test
Mann-Whitney test
Kruskal-Wallis test
Mood’s median test
Friedman test
Runs test

Equivalence Tests

One- and two-sample, paired
2x2 crossover design

Tables

Chi-square, Fisher’s exact, and other tests
Chi-square goodness-of-fit test
Tally and cross tabulation

Simulations and Distributions

Random number generator
Probability density, cumulative distribution, and inverse cumulative distribution functions
Random sampling

Macros and Customization

Customizable menus and toolbars
Extensive preferences and user profiles
Powerful scripting capabilities

^[2]

Interoperability

Minitab, Inc., also produces other software that can be used in conjunction with Minitab;^[3] Quality Trainer is an eLearning package that teaches statistical tools and concepts in the context of quality improvement and Quality Companion is a tool for managing Six Sigma and Lean manufacturing.

References

"Minitab Statistical Software Features – Minitab." Software for Statistics, Process Improvement, Six Sigma, Quality – Minitab. N.p., n.d. Web. 11 Apr. 2011.
Groebner, David F., Mark L. Berenson, David M. Levine, Timothy C. Krehbiel, and Hang Lau. Applied management statistics. Custom ed. Boston, MA: Pearson Custom Publishing/Pearson/Prentice Hall, 2008. Print

↑ "NIST OMNITAB 80". Nist.gov. Retrieved 2018-01-30.
↑ "Minitab-Feature List".
↑ "Minitab Products". Minitab.com. Retrieved 2018-01-30.

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[1] "NIST OMNITAB 80". Nist.gov. Retrieved 2018-01-30.

[2] "Minitab-Feature List".

[3] "Minitab Products". Minitab.com. Retrieved 2018-01-30.