cm011 - November 6, 2018

Overview

  • Define a continuous random variable
  • Identify continuous random variable distributions relevant to social science
  • Define expected value and variance of continuous random variables
  • Relate continuous random variables to discrete random variables
  • Define cumulative distribution functions (CDFs) for continuous random variables and compare to discrete random variables
  • Explain how to condition random variables on events
  • Estimate probability of events using probability density functions (PDFs) and cumulative distribution functions (CDFs)

Before class

Slides and class materials

Additional resources

What you need to do

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