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 *