Descriptive Statistics and Probability Distributions

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

Descriptive Statistics and Probability Distributions

or

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 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.

Suggested Prework

MATLAB Onramp – a free two-hour introductory tutorial to learn the essentials of MATLAB®.

Details

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

• 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

• Describe and use the uniform probability distribution.
• Describe and use the normal probability distribution.
• Describe and use the standard normal probability distribution.
• Describe and use the exponential probability distribution.

Products

MATLAB, Statistics and Machine Learning Toolbox™

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