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* RAM: 64-bit systems: 4 GB of memory or more recommended
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* Operating System: Windows 8.1, Windows 10 * Extensive preferences and user profiles * Probability density, cumulative distribution, and inverse cumulative distribution functions * Chi-square, Fisher’s exact, and other tests * Auto-, partial auto-, and cross correlation functions
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* Two-level, Plackett-Burman and general full factorial designs * Descriptions: distribution, probability, hazard, survival * Exact failure, right-, left-, and interval-censored data * Parametric and nonparametric distribution analysis * Descriptions: residual, main effects, interaction, cube, contour, surface, wireframe * Effects Descriptions: normal, half-normal, Pareto * Analyze variability for factorial designs * Process capability: normal, non-normal, attribute, batch * Multivariate control charts: T2, generalized variance, MEWMA * Time-weighted control charts: MA, EWMA, CUSUM * Attributes control charts: P, NP, C, U, Laney P’ and U’ * Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, I-MR-R/S, zone, Z-MR
* Validation for Regression and Binary Logistic Regression* * Stepwise: p-value, AICc, and BIC selection criterion * Descriptions: residual, factorial, contour, surface, etc. * Binary, ordinal and nominal logistic regression * One-sample Z-test, one- and two-sample t-tests, paired t-test * Brush graphs to explore points of interest
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* Automatically update graphs as data change * Probability and probability distribution Descriptions * Binned scatterDescriptions*, boxDescriptions, charts, correlograms*, dotDescriptions, heatmaps*, histograms, matrix Descriptions, parallel Descriptions*, scatterDescriptions, time series Descriptions, etc. Graphs seamlessly update as data changes and our cloud-enabled web app allows for secure analysis sharing with lightning speed. Visualizations can help communicate your findings and achievements through correlograms, binned scatterDescriptions, bubble Descriptions, boxDescriptions, dotDescriptions, histograms, heatmaps, parallel Descriptions, time series Descriptions and more. Use classical methods in Minitab Statistical Software, integrate with open-source languages R or Python, or boost your capabilities further with machine learning algorithms like Classification and Regression Trees (CART®) or TreeNet® and Random Forests®, now available in Minitab’s Predictive Analytics Module. Skillfully predict, compare alternatives and forecast your business with ease using our revolutionary predictive analytics techniques. Key statistical tests include t tests, one and two proportions, normality test, chi-square and equivalence tests.Īccess modern data analysis and explore your data even further with our advanced analytics and open source integration.
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Only Minitab offers a unique, integrated approach by providing software and services that drive business excellence now from anywhere thanks to the cloud. Regardless of statistical background, Minitab can empower all parts of an organization to predict better outcomes, design better products and improve processes to generate higher revenues and reduce costs. With the power of statistics and data analysis on your side, the possibilities are endless. Visualizations are good, but pair them with analytics to make them great.
Data is everywhere these days, but are you truly taking advantage of yours? Minitab Statistical Software can look at current and past data to find trends and predict patterns, uncover hidden relationships between variables, visualize data interactions and identify important factors to answer even the most challenging of questions. Visualize, analyze and harness the power of your data to solve your toughest challenges and eliminate mistakes before they happen. Minitab v21.1 (圆4) Multilingual | 281 MB | Language: Multilanguage
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