Descriptive Statistics and Probability Distributions
Curriculum Module
Created with R2020a. Compatible with R2020a and later releases.
This curriculum module contains interactive MATLAB® live scripts that teach the fundamentals of descriptive statistics and some commonly used probability distributions.
You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers descriptive statistics such as mean, median, range, variance and standard deviation and visualizations such as histograms and boxplots. Additional scripts address discrete and continuous probability distributions including the binomial and Poisson distributions as well as the uniform, normal, and exponential distributions.
The instructions inside the live scripts will guide you through the exercises and activities. Get started with each live script by running it one section at a time. To stop running the script or a section midway (for example, when an animation is in progress), use the Stop button in the RUN section of the Live Editor tab in the MATLAB Toolstrip.
Solutions are available upon instructor request. Contact the MathWorks teaching resources team if you would like to request solutions, provide feedback, or if you have a question.
This module assumes knowledge of MATLAB at the level of the MATLAB Onramp, a free two-hour introductory course.
Use the link to download the module. You will be prompted to log in or create a MathWorks account. The project will be loaded, and you will see an app with several navigation options to get you started.
Download or clone this repository. Open MATLAB, navigate to the folder containing these scripts and double-click on StatsAndProb.prj. It will add the appropriate files to your MATLAB path and open an app that asks you where you would like to start.
Ensure you have all the required products (listed below) installed. If you need to include a product, add it using the Add-On Explorer. To install an add-on, go to the Home tab and select Add-Ons > Get Add-Ons.
MATLAB® and the Statistics and Machine Learning Toolbox™ are used throughout
Courseware Module | Sample Content | Available on: |
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Fundamentals of Probability Theory |
GitHub |
Or feel free to explore our other modular courseware content.
Looking for more? Find an issue? Have a suggestion? Please contact the MathWorks teaching resources team. If you want to contribute directly to this project, you can find information about how to do so in the CONTRIBUTING.md page on GitHub.
© Copyright 2023 The MathWorks™, Inc
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Versione | Pubblicato | Note della release | |
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1.2.0.0 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability/releases/tag/v1.2.0 |
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1.1.4.0 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability/releases/tag/v1.1.4 |
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1.1.3 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability/releases/tag/v1.1.3 |
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1.1.2.0 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability/releases/tag/v1.1.2 |
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1.1.1 | See release notes for this release on GitHub: https://github.com/MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability/releases/tag/v1.1.1 |
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1.1.0 |