New time series analyses help students explore data collected sequentially. With its user-friendly interface and intuitive menus designed to complement leading textbooks, students can use Minitab Express on Mac or PC to quickly analyze and interpret their data-benefits that continue in the newest version, which includes time series analysis, control charts, regression improvements, and more.

“We’re excited to provide business and engineering departments with the tools they need to prepare students for a data-driven world,” says Michelle Paret, product marketing manager. – Minitab Express 1.4, an update to the most recent version of this statistical software package for introductory statistics, adds new analyses and regression features. Minitab is available in eight languages–English, Simplified Chinese, French, German, Japanese, Korean, Portuguese, and Spanish.Latest update to Minitab Express introduces new statistical tools and additional distributions. *Memory recommendations depend on data size. Additional required software will be installed with the application: Microsoft Visual C++ Redistributables for Visual Studio 2019

Browser: A web browser is required for Minitab Help.

Connectivity: An internet connection is required for activation of trial and single-user licenses.

Screen Resolution: 1024 x 768 or higher.

Hard Disk Space: 2 GB (minimum) free space available.

Processor: Intel® Pentium® 4 or AMD Athlon™ Dual Core, with SSE2 technology.

RAM*: 64-bit systems: 4 GB of memory or more recommended.

Operating System: Windows 8 or 8.1, Windows 10.Minitab Statistical Software - Desktop App Supported Browsers: Chrome, Chromium Edge, or Safari.Connectivity: An internet connection is required.Minitab Statistical Software: Cloud App & Windows Desktop Plots: residual, main effects, interaction, cube, contour, surface, wireframe Process capability: normal, non-normal, attribute, batchĪnalyze variability for factorial designsĮffects plots: normal, half-normal, Pareto Multivariate control charts: T2, generalized variance, MEWMA Time-weighted control charts: MA, EWMA, CUSUM Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, I-MR-R/S, zone, Z-MRĪttributes control charts: P, NP, C, U, Laney P’ and U’ Validation for Regression and Binary Logistic Regression* Stepwise: p-value, AICc, and BIC selection criterion Plots: residual, factorial, contour, surface, etc. One-sample Z-test, one- and two-sample t-tests, paired t-testīinary, ordinal and nominal logistic regression Probability and probability distribution plotsĪutomatically update graphs as data changeīrush graphs to explore points of interest Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, time series plots, etc.

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