Features

Assistant

• Measurement systems analysis

• Capability analysis

• Graphical analysis

• Hypothesis tests

• Regression

• DOE

• Control charts

Healthcare Module

Regression

• Cox regression

• Linear regression

• Nonlinear regression

• Binary, ordinal and nominal logistic regression

• Stability studies

• Partial least squares

• Orthogonal regression

• Poisson regression

• Plots: residual, factorial, contour, surface, etc.

• Stepwise: p-value, AICc, and BIC selection criterion

• Best subsets

• Response prediction and optimization

• Model validation

• Multivariate Adaptive Regression Splines

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 Sixpack™

• Tolerance intervals

• Acceptance sampling and OC curves

• Multi-Vari chart

• Variability chart

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

Time Series and Forecasting

• Time series plots

• Trend analysis

• Decomposition

• Moving average

• Exponential smoothing

• Winters’ method

• Auto-, partial auto-, and cross correlation functions

• ARIMA

• Box-Cox Transformation*

• Augmented Dickey-Fuller Test*

• Forecast with Best ARIMA Model*

Tables

• Chi-square, Fisher’s exact, and other tests

• Chi-square goodness-of-fit test

• Tally and cross tabulation

Graphics

• Graph Builder*

• Binned scatterplots, boxplots, bubble plots, bar charts, correlograms, dotplots, heatmaps, histograms, matrix plots, parallel plots, scatterplots, 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

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

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 binary responses

• 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

Predictive Analytics

• Automated Machine Learning

• CART® Classification

• CART® Regression

• MARS® 

• Random Forests® Classification

• Random Forests® Regression

• TreeNet® Classification

• TreeNet® Regression

Nonparametrics

• Sign test

• Wilcoxon test

• Mann-Whitney test

• Kruskal-Wallis test

• Mood’s median test

• Friedman test

• Runs test

Simulations and Distributions

• Random number generator

• Probability density, cumulative distribution, and inverse cumulative distribution functions

• Random sampling

• Bootstrapping and randomization tests

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

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

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

Multivariate

• Principal components analysis

• Factor analysis

• Discriminant analysis

• Cluster analysis

• Correspondence analysis

• Item analysis and Cronbach’s alpha

• Multivariate Adaptive Regression Splines

Equivalence Tests

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

Macros and Customization

• Customizable menus and toolbars

• Extensive preferences and user profiles

• Powerful scripting capabilities

• Python integration

• R integration