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Minitab 18.1 Latest Released on June 07, 2017 is a comprehensive statistical

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calculation software, the leading statistical software for quality improvement and statistics education. One branch of science that is directly related to maths is statistics, essential when it comes to making decisions based on gathering data, their study and analysis, and subsequent processing and classification. In this task, statistical calculation acquires large importance, and programs like Minitab can come in very handy. This is one good MapleSoft Maple Alternative program.
Minitab 18 answers that challenge with Definitive Screening Designs, which minimize the number of experimental runs required, but still enable users to identify important inputs without confounding main effects and two-way interactions.
Minitab 18 also adds restricted maximum likelihood (REML) estimation, and advanced method that minimizes bias and improves inferences and predictions for mixed models, which include both fixed and random factors.
With Minitab 18, it’s never been easier to assess the impact of a large number of factors on a process output, or to get more accurate results from models that include both fixed and random factors.
Complementing the release of Minitab 18 is a new version of Quality Trainer by Minitab®, an e-learning course that teaches you how to solve real-world quality improvement challenges with statistics and Minitab, and lets you refresh that knowledge anytime.
Minitab 18 is available in English, French, German, Japanese, Korean, Portuguese, Simplified Chinese and Spanish. Documentation is available in several other languages.
– Statistical calculation software that’s within the reach of all kinds of users: allowing the use of macros and including sample data and examples, as well as a glossary of statistical terminology.
– Includes a large variety of tools and functions to edit and manage data: copy, crop and paste functions, various ‘Undo’ and ‘Redo’ levels, import and export data to Excel, text, HTML files, CSV spreadsheets, XML files…
– Carry out descriptive statistics, variance analyses and Poisson distribution tests.

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– Allows the use of a large amount of graphics.
– Try different types of regression (linear, polynomial, logistic, etc.) and variance (ANOVA, GLM, MANOVA) analyses.
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