Allyoulike: Minitab v18.1

Allyoulike This feed was created by mixing existing feeds from various sources.

Minitab v18.1 Jul 31st 2018, 09:55, by maxdugan MINITAB Statistical Software is the ideal package for Six Sigma and other quality improvement projects. From Statistical Process Control to Design of Experiments, it offers you the methods you need to implement every phase of your quality project, along with features like StatGuide and ReportPad that help you understand and communicate your results. No package is more accurate, reliable, or easy to use. In addition to more statistical power than our previous release, MINITAB offers many exciting new features such as: A powerful new graphics engine that delivers engaging results that offer tremendous insight into your data An effortless method to create, edit, and update graphs The ability to customize your menus and toolbars so you can conveniently access the methods you use most. * 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 Reliability/Survival Parametric and nonparametric distribution analysis Goodness-of-fit measures ML and least squares estimates Exact failure, right-, left-, and interval-censored data Accelerated life testing Regression with life data Reliability test plans Threshold parameter distributions Repairable systems Multiple failure modes Probit analysis Weibayes analysis Hypothesis tests on distribution parameters Plots: distribution, probability, hazard, survival Warranty analysis 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 Multivariate Principal components analysis Factor analysis Discriminant analysis Cluster analysis Correspondence analysis Item analysis and Cronbach's alpha Time Series and Forecasting Time series plots Trend analysis Decomposition Moving average Exponential smoothing Winters' method Auto-, partial auto-, and cross correlation functions ARIMA Nonparametrics Sign test Wilcoxon test Mann-Whitney test Kruskal-Wallis test Mood's median test Friedman test Runs test Equivalence Tests One- and two-sample, paired and 2×2 crossover design Tables Chi-square, Fisher's exact, and other tests Chi-square goodness-of-fit test Tally individual variables Simulations and Distributions Random number generator Density, cumulative distribution, and inverse cumulative distribution functions Random sampling Macros and Customization Customizable menus and toolbars Extensive preferences and user profiles http://www.rarefile.net/8peva5jbb4y1/Minitab.v18.1.rar .

You are receiving this email because you subscribed to this feed at blogtrottr.com. By using Blogtrottr, you agree to our policies, terms and conditions. If you no longer wish to receive these emails, you can unsubscribe from this feed, or manage all your subscriptions.