Minitab

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Minitab
Minitab Logo.svg
Minitab 17 running on Windows 8
Minitab 17 running on Windows 8
Developer(s) Minitab, Inc.
Stable release
18.1 / June 7, 2017; 14 months ago (2017-06-07)
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[edit]

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[edit]

Features that are included in the Minitab 18 package.

Assistant[edit]

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

Graphics[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

  • 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[edit]

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

Time Series and Forecasting[edit]

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

Nonparametrics[edit]

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

Equivalence Tests[edit]

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

Tables[edit]

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

Simulations and Distributions[edit]

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

Macros and Customization[edit]

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

[2]


Interoperability[edit]

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.

See also[edit]

References[edit]

  • "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
  1. ^ "NIST OMNITAB 80". Nist.gov. Retrieved 2018-01-30. 
  2. ^ "Minitab-Feature List". 
  3. ^ "Minitab Products". Minitab.com. Retrieved 2018-01-30. 

Further reading[edit]

External links[edit]