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Minitab
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QI
Macros
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Define, Measure, Analyze, Improvem Control
(DMAIC)
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Balanced Scorecard
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Y
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SIPOC
|
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Y
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Flow chart
|
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Y
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Run chart
|
Y
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Y
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Pareto chart
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Y
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Y
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Fishbone diagram
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Y
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Y
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Failure Modes and Effects Analysis (FMEA)
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Y
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Scatter chart
|
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Y
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Action plan, Gantt charts
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Y
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Control Chart Wizard: Analyzes your data
and selects the correct control chart for you!
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Y
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Statistical Process Control (SPC
- Control)
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Pre-Control Chart
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Y
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Control Plan (AIAG)
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Y
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Control charts: XBar, XBar-S, XmR, CUSUM, p,
np, c, u
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Y
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Y
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Historical/shift-in-process charts
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Y
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Y
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Process capability
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Y
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Y
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Process Capability SixpackTM
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Y
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Fivepack
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Multi-Vari charts
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Y
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Y
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Symmetry plot
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Y
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Y
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Scatter plots, boxplots, dotplots, histograms,
charts, time series plots
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Y
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Y
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Probability plots, contour plots
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Y
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Y
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Matrix plots, pie charts
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Y
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Y
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Control charts: MA, EWMA, zone
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Y
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Y
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Short Run and Median Control charts
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Y
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Y
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Multivariate control charts: T2, generalized
variance, MEWMA
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Y
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T2
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Box-Cox transformation
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Y
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Y
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Johnson transformation
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Y
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Design for Six Sigma
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QFD House of Quality
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Y
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Pugh Concept Selection Matrix
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Y
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Measurement Systems Analysis
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Gage R&R: ANOVA and XBar-R methods
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Y
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Y
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Attribute Gage Study - AIAG long method
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Y
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Y
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Gage linearity and accuracy
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Y
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Y
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Gage run chart
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Y
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Y
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Nested Gage R&R
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Y
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Attribute agreement analysis
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Y
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Basic Statistics
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Descriptive statistics
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Y
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Y
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Confidence intervals, one- and two-sample t-tests,
paired t-tests
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Y
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Y
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Correlation and covariance
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Y
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Y
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Chi-square test
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Y
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Y
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Normality test
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Y
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Y
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Test for equal variances
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Y
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Y
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Analysis of Variance (ANOVA)
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Y
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Y
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Regression Analysis
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Linear regression
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Y
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Y
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Residual plots
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Y
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Y
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Polynomial regression
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Y
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Logistic regression
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Y
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Partial least squares (PLS)
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Y
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Stepwise and best subsets
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Y
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Design of Experiments
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Two-level factorial designs
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Y
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Y
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General full factorial designs
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Y
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Y
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Plackett-Burman designs
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Y
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Y
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Taguchi designs
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Y
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Y
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Analysis of variability for factorial designs
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Y
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Y
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User-specified designs
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Y
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Response surface designs
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Y
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Mixture designs
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Y
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D-optimal and distanced-based designs
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Y
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Response prediction
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Y
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Botched runs
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Y
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Mixture plots
|
Y
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Y
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Overlaid contour plot
|
Y
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Plots: residual, main effects, interaction,
cube, contour, surface, and wireframe
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Y
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Response optimization
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Y
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Reliability/Survival Analysis
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Parametric and nonparametric distribution analysis
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Y
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Y
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Goodness-of-fit measures
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Y
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Y
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ML and least squares estimates
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Y
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Exact failure, right-, left-, and interval-censored
data
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Y
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Accelerated life testing
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Y
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Regression with life data
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Y
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Reliability test plans
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Y
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Threshold of parameter distributions
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Y
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Analysis of repairable systems
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Y
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Analysis of multiple failure modes
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Y
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Probit analysis
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Y
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Weibayes analysis
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Y
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Hypothesis tests on distribution parameters
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Y
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Plots: distribution, probability, hazard, and
survival
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Y
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Confidence intervals
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Y
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Power and Sample Size
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One-sample Z, t, and proportion
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Y
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Y
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Two-sample t and proportion
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Y
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Y
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One-way ANOVA, two-level factorial, and Plackett-Burman
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Y
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Y
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Solve for number of center points
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Y
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Multivariate Analysis
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Principal component analysis
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Y
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Discriminant analysis
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Y
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Cluster analysis
|
Y
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Factor analysis
|
Y
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Correspondence analysis
|
Y
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Time Series and Forecasting
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Time series plots
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Y
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Y
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Auto-, partial auto-, and cross correlations
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Y
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Y ARIMA analysis
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Y
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Trend analysis
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Y
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Decomposition
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Y
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Exponential smoothing
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Y
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Y
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Winter's method
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Y
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Moving average
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Y
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Y
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Nonparametrics
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Sign test
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Y
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Y
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Wilcoxon test
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Y
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Y
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Mann-Whitney test
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Y
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Y
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Kruskal-Wallis test
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Y
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Y
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Friedman test
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Y
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Y
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Runs test
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Y
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Mood median test
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Y
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Tables
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Cross-tabulation interface with new measures
of association
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Y
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Pivot
Table
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Contingency tables
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Y
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Tally
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Y
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Fisher's exact test for 2x2 tables
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Y
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Simulation and Distributions
|
Y
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Random number generator
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Y
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Excel
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Density, distribution, and inverse cumulative
distribution functions
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Y
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Excel
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Random sampling
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Y
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Excel
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Ease of Use
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Customizable menus and toolbars
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Y
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Y
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Online tutorials
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Y
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Y
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Clear, comprehensive HTML Help system
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Y
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Y
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Project Manager: logically organizes analysis
|
Y
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Smart dialog boxes: remember recent settings
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Y
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Extensive preferences and user-editable profiles
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Y
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