1.06-lesson-discrete-distributions

Discrete Distributions Lesson

Materials We Provide

Topic	Description	Link
Lesson	Discrete Distributions Level 1	Link
Lesson	Discrete Distributions Level 2 (supplemental)	Link

Dataset description: Simulated Data

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Learning Objectives

After this lesson, students will be able to:

1. Define distribution and random variable.
2. Describe the difference between discrete and continuous random variables.
3. Understand the difference between probability mass functions and cumulative distribution functions.
4. Give examples of the following distributions: Discrete Uniform, Bernoulli, Binomial, and Poisson.

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Student Requirements

Before this lesson(s), students should already be able to:

1. Open and run cells in Jupyter notebooks.
2. Call functions.

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Lesson Outline

Total Time: 100 mins

0. Introduction! (10 minutes total)

I. Data Science Process (15 minutes total)

II. Distributions Intro (30 minutes total)

• Exploring Data
• Terminology
• Continuous vs. Discrete Distributions

III. Named Discrete Probability Distributions (35 minutes total)

• PMF/CDF
• Discrete Uniform
• Bernoulli
• Binomial
• Poisson

IV. Recap (10 minutes total)

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OPTIONAL: Resources for Practice and Learning

For supplemental reading material on this topic, check out the following resources:

• Brown University Seeing Theory