 Accelerated life testing
 Acceptance sampling and OC curves
 Analysis of means
 Analysis of multiple failure modes
 Analysis of repairable systems
 Analyze variability for factorial designs
 Analyzing Tables of Counts
 ARIMA
 Attribute agreement analysis
 Attribute Gage Study – AIAG analytic method
 Attributes control charts: P, NP, C, U, P’, U’
 Auto, partial auto, and cross correlation functions
 Binary, ordinal and nominal logistic regression
 Binomial Distribution
 Botched runs
 BoxCox transformation
 Calculating the Distribution Function
 Calculating the Inverse Distribution Function
 Capability Sixpack
 Causeandeffect (fishbone) diagram
 ChiSquare Distribution
 Chisquare goodnessoffit test
 Chisquare, Fisher’s exact, and other tests
 Cluster analysis
 Coding
 Column Statistics
 COMenabled automation
 Comparing Two Samples
 Comprehensive command language
 Confidence and prediction intervals
 Converting Data Types
 Correlation and covariance
 Correlations
 Correspondence analysis
 Custom tests for special causes
 Customizable menus and toolbars
 Data collection worksheet generator
 Decomposition
 Density, cumulative distribution, and inverse cumulative distribution functions
 Discriminant analysis
 DMAIC Toolbar
 Doptimal and distancebased designs
 Easily create indicator variables
 Effects plots: normal, halfnormal, Pareto
 Exact failure, right, left, and intervalcensored data
 Exponential smoothing
 Extensive preferences and user profiles
 Factor analysis
 Friedman test
 Fully nested designs
 Gage linearity and bias
 Gage R&R Crossed: ANOVA and XbarR methods
 Gage R&R for more than two variables
 Gage R&R Nested
 Gage run chart
 General factorial designs
 General linear model (GLM)
 Goodnessoffit measures
 Goodnessoffit test for Poisson
 Historical/shiftinprocess charts
 Hypothesis tests on distribution parameters
 Individual distribution identification
 Inference for a Single Proportion
 Inference for Two Proportions
 Item analysis and Cronbach’s alpha
 Johnson transformation
 KruskalWallis test
 Linear regression
 Logistic Regression
 Macros and Execs
 MannWhitney test
 MANOVA
 Matrix Algebra in Minitab
 Misclassification probabilities
 Mixture designs
 ML and least squares estimates
 Mood’s median test
 Moving average


 Multiple comparisons
 MultiVari chart
 Multivariate control charts: Tsquared, generalized variance, MEWMA
 Nonlinear regression
 Normal Probability Plots
 Normality test
 NOVA
 One and two proportions
 One and two variances
 One and twosample Poisson rate tests
 One and twosample t
 Onesample Z
 OneWay ANOVA
 Orthogonal regression
 Paired t
 Parametric and nonparametric distribution analysis
 Pareto chart
 Partial least squares (PLS)
 PlackettBurman and general full factorial designs
 Plots: distribution, probability, hazard, survival
 Plots: residual, main effects, interaction, cube, contour, surface, wireframe
 Plotting Data in a Graph Window
 Power curves
 Powerful macro capability
 Principal components analysis
 Probit analysis
 Process capability for multiple variables
 Process capability: normal, nonnormal, attribute, batch
 Random number generator
 Random sampling
 Rare event control charts: G, T
 Regression
 Reliability test plans
 Residual plots
 Residual, main effects, and interaction plots
 Response optimization
 Response prediction
 Response surface designs
 Row Statistics
 Runs test
 Sample size for estimation
 Scatter plots
 Sign test
 Simple Regression Analysis
 Simulating Sampling Distributions
 Simulations for Conﬁdence Intervals
 Simulations for Power Calculations
 Splitplot designs
 Stepwise and best subsets
 Student Distribution
 Symmetry plot
 Tabulating and Plotting
 Taguchi designs
 Tally and cross tabulation
 tConﬁdence Intervals
 The Chisquare Test
 The Sign Test
 Threshold parameter distributions
 Time series plots
 Timeweighted control charts: MA, EWMA, CUSUM
 Tolerance intervals
 Transformations
 Trend analysis
 tTests
 Twolevel factorial design
 TwoWay ANOVA
 Type 1 Gage Study (single part)
 Unbalanced nested designs
 Userspecified designs
 Variables control charts: XBar, R, S, XBarR, XBarS, I, MR, IMR, IMRR/S, zone, ZMR
 Warranty analysis
 Weibayes analysis
 Wilcoxon Rank Sum Procedures
 Winters’ method
 zConﬁdence Intervals
 zTests
