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Probability Cheatsheet download for Windows

Free download Probability Cheatsheet Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Probability Cheatsheet whose latest release can be downloaded as probability_cheatsheetsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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Probability Cheatsheet


DESCRIPTION

The probability_cheatsheet is a cheat sheet repository that summarizes key probability theory concepts, formulas, distributions, and properties in a concise format. It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a quick reference for students, data scientists, statisticians, or anyone needing to recall core probability formulas without diving into textbooks. It may include visual diagrams (e.g. distributions’ shapes), tips or mnemonic notes, and examples of application (e.g. computing probabilities or expectations). Formats could include Markdown, PDF, or images for easy inclusion in study materials or slides.



Features

  • Condensed definitions and formulas for random variables, expectation, variance
  • Key distributions (normal, binomial, Poisson, exponential) with their properties
  • Conditional probability rules, Bayes’ theorem, and independence concepts
  • Important inequalities and bounds (e.g. Markov, Chebyshev)
  • Visual aids or diagrams illustrating distribution shapes or relationships
  • Portable formats (Markdown, PDF, image) for reference or inclusion in notes



Categories

Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/probability-cheatsheet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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