04 - Probability and random sampling (Sept. 28-Oct. 4)

Rules of Probability and Random Variables

Learning Objectives

  • Describe the difference between mutually exclusive (or disjoint) and independent variables. 
  • Define the basic rules of probability including the complement rule, addition rule, multiplication rule, and rule of conditional probability. 
  • State the law of total probability and Bayes’ theorem. 
  • Define a random variable and describe the difference between the two types: discrete and continuous. Give an example of each variable.
  • Explain the distribution of a random variable and its importance in computing probabilities. 
  • State two conditions that must always apply to the probabilities for a discrete random variable.

 Videos & Video Lectures

 

Readings

 

Assignments

 

Required Online Adobe Connect Sessions

  • Wednesday, September 28 7-8:20pm ET - Happy Hour with Rod Little
    • Topic - Review Week 3, Homework Q&A, Preview Week 4, BIA 2: Creagan article
    • Week 4 Happy Hour Recording
  • Monday, October 3 7-8:20 pm ET - Lab 4 with Swastina Shrestha
    • Week 4 Lab Recording

Powerpoint Slides

 

Additional Resources