Powerful statistics and graphs are just the beginning.
Minitab 17 gives you the confidence you need to improve quality, with features like an interactive Assistant that guides you through your analysis. We specifically designed it to help you succeed at every step of your analysis.
Minitab 17 Feature List
* New or Improved
Assistant
Measurement Systems Analysis *
Capability Analysis *
Graphical Analysis *
Hypothesis Tests *
Regression *
DOE *
Control Charts *
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 covariance *
Normality test
Outlier test *
Poisson goodness-of-fit test
Graphics
Easily create professional-looking graphics *
Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, time series plots, etc.
Bubble plot *
Contour and rotating 3D plots
Probability and probability distribution plots
Edit attributes: axes, labels, reference lines, etc.
Interactively recreate custom graphs with new data
Easily place multiple graphs on one page
Automatically update graphs as data change
Brush graphs to explore points of interest
Export: TIF, JPEG, PNG, BMP, GIF, EMF
Regression
Linear regression *
Binary, ordinal and nominal logistic regression *
Nonlinear regression
Stability studies *
Orthogonal regression
Partial least squares
Poisson regression *
Plots: residual, factorial, contour, surface, etc. *
Stepwise and best subsets *
Response prediction and optimization
Analysis of Variance
ANOVA *
General Linear Model *
MANOVA *
Multiple comparisons *
Response prediction and optimization *
Test for equal variances *
Plots: residual, factorial, contour, surface, etc. *
Analysis of means
Statistical Process Control
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 for multiple variables
Process Capability SixpackTM *
Tolerance intervals *
Acceptance sampling and OC curves
Measurement Systems Analysis
Data collection worksheets
Gage R&R Crossed: ANOVA and Xbar-R methods *
Gage R&R Nested
Gage R&R Expanded *
Misclassification probabilities
Gage run chart
Gage linearity and bias
Type 1 Gage Study
Attribute Gage Study – AIAG analytic method
Attribute agreement analysis
Design of Experiments
Two-level factorial designs *
Split-plot designs *
General factorial designs *
Plackett-Burman 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 *
Product:Minitab v17.2.1
Lanaguage:english
Platform:Win7/WIN8
Size:1CD