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Add project and support for Open in MATLAB Online
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38 changes: 16 additions & 22 deletions README.md
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# Descriptive Statistics and Probability Distributions [![View <File Exchange Title> on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/95463-descriptive-stats-and-probability)
**Curriculum Module created in collaboration with Ward Nickle, Humboldt State University**

# Descriptive Statistics and Probability Distributions [![View <File Exchange Title> on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/####-Phase-Plane-and-Slope-Field) or [Open in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability&project=StatsAndProb.prj)
**Curriculum Module in collaboration with Ward Nickle, Humboldt State University**
_Created with R2020a. Compatible with R2020a and later releases._


## Description ##
This package contains _[live scripts](https://www.mathworks.com/products/matlab/live-editor.html)_ centered around the fundamentals of descriptive statistics and some commonly used probability distributions. These materials are designed to be flexible and can be easily modified to accommodate a variety of teaching and learning methods. Used in a sequence, the live scripts progressively add depth to the topic. However, each script can be easily adapted for standalone use. It includes a brief background, interactive illustrations, tasks, reflection questions, and example problems for the different concepts explored.
This package contains _[live scripts](https://www.mathworks.com/products/matlab/live-editor.html)_ centered around the fundamentals
of descriptive statistics and some commonly used probability distributions. These materials are designed to be flexible and can be
easily modified to accommodate a variety of teaching and learning methods. Used in a sequence, the live scripts progressively add depth
to the topic. However, each script can be easily adapted for standalone use. It includes a brief background, interactive illustrations,
tasks, reflection questions, and example problems for the different concepts explored.

<img src = "https://www.mathworks.com/content/mathworks/www/en/academia/courseware/statistics-and-probability/_jcr_content/mainParsys/columns_1254430605_c/2/columns_copy/1/image.adapt.full.high.png/1614628044446.png" height = "400">
<img src = "https://www.mathworks.com/content/mathworks/www/en/academia/courseware/statistics-and-probability/_jcr_content/mainParsys/columns_1254430605_c/2/columns_copy/1/image.adapt.full.high.png/1614628044446.png" height = "500">

## Suggested Prework ##
[MATLAB Onramp](https://www.mathworks.com/learn/tutorials/matlab-onramp.html) – a free two-hour introductory tutorial to learn the essentials of MATLAB®.
[MATLAB Onramp](https://www.mathworks.com/learn/tutorials/matlab-onramp.html) – a free two-hour introductory tutorial to learn
the essentials of MATLAB®.

## Details ##

**`descriptiveStatistics.mlx`**
**Learning Goals:**
**`descriptiveStatistics.mlx`** [Open in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability&project=StatsAndProb.prj&file=descriptiveStatistics.mlx)
**Learning Goals**
- Display a quantitative variable as a histogram.
- Determine and interpret the mean and the median.
- Determine and interpret the range, variance, and standard deviation.
- Determine and interpret measures of position.
- Display a quantitative variable as a boxplot.

## ##
**`discreteDistributions.mlx`**
**Learning Goals:**
**`discreteDistributions.mlx`** [Open in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability&project=StatsAndProb.prj&file=discreteDistributions.mlx)
**Learning Goals**
- Define a probability distribution.
- Find statistics given a discrete probability distribution.
- Use the binomial distribution.
- Use the hypergeometric distribution.
- Use the Poisson distribution.

## ##
**`continuousDistributions.mlx`**
**Learning Goals:**
**`continuousDistributions.mlx`** [Open in MATLAB Online](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Descriptive-Stats-and-Probability&project=StatsAndProb.prj&file=continuousDistributions.mlx)
**Learning Goals**
- Describe and use the uniform probability distribution.
- Describe and use the normal probability distribution.
- Describe and use the standard normal probability distribution.
Expand All @@ -42,15 +46,5 @@ This package contains _[live scripts](https://www.mathworks.com/products/matlab/
## Products ##
MATLAB, Statistics and Machine Learning Toolbox™

## License ##
The license for this module is available in the LICENSE.TXT file in this GitHub repository.

## Educator Resources ##
* [Featured Courseware](https://www.mathworks.com/academia/courseware/course-materials.html)
* [Teach with MATLAB and Simulink](https://www.mathworks.com/academia/educators.html)
* [MATLAB Grader](https://www.mathworks.com/products/matlab-grader.html)

Have any questions or feedback? Contact the <a href="mailto:onlineteaching@mathworks.com">MathWorks online teaching team.</a>

## ##
_Copyright 2021 The MathWorks, Inc._
5 changes: 5 additions & 0 deletions Startup.m
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function Startup

edit("descriptiveStatistics.mlx")

end
2 changes: 2 additions & 0 deletions StatsAndProb.prj
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<?xml version="1.0" encoding="UTF-8"?>
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<?xml version='1.0' encoding='UTF-8'?>
<Info Name="StatsAndProb"/>
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