Define a random variable and graph its distribution

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Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
Guided Notes →One page your students fill in and keep.
Exit Ticket →Three items at the end of class. No student accounts.
Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
Homework →Assign practice; it grades itself.

HSS.MD.A.1

**HSS.MD.A.1**: (+) Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.

HSS.MD.A.1: (+) Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.

What you'll learn

Define a random variable by assigning a numerical value to each outcome (or event) in a sample space
List the possible values of a random variable and find the probability of each
Construct a probability distribution table for a discrete random variable, verifying that the probabilities sum to 1
Graph a probability distribution as a probability histogram, using the same graphical displays used for data distributions
Describe the center, spread, and shape of a probability distribution from its graph, and choose a sensible random variable for a real-world quantity of interest

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Slides

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Random variables and distributions

✓ Start here

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Graphing distributions in context

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Practice

Try it on your own

Exercise

Practice problems, checked as you go

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