Experience 6 - Continuous Probability Distributions

Continuous Probability Distributions



Whenever data is measured rather than counted we need to allow the random variable to be continuous. Perhaps the most important distribution in our class is the normal distribution. Not only do many populations follow this distribution (e.g. standardized test scores, heights, gestation periods, etc.), but we will later learn about and use a relationship between all populations and the normal distribution. 

Learning Objectives:

  • Know in general how probability is calculated from continuous distributions
  • Understand how to apply the empirical rule
  • Learn how z-scores are used to standardize data

Performance Criteria

  • The learner answer questions about continuous distributions given common graphs, terminology, and notation.
  • The learner will create a graph showing how the empirical rule is applied to a specific situation.
  • The learner will use the relationship between the z-score and random variable to answer questions and solve problems.

Explore the different types of normal curves possible

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Chapter 5 (This is a video by the authors covering chapter 5. Just watch the parts relating to section 5.1)

Chapter 6 (This is a video by the authors covering chapter 6. Just watch the parts relating to section 6.1)

Click on "Textbook" to view the reading assignment or read Sections 5.1 and 6.1 from your print or digital copy.


  1. Review - Read the above components and post any questions in the forum below. 
  2. Practice - Complete the practice exercises that follow.
  3. Think - Answer the Critical Thinking questions in the "Critical Thinking" forum. 
  4. Apply - Complete the Application Problems and upload your completed file
  5. Assess - Complete the Peer Assessment for this Experience.

If you have any questions about the content (readings, problems, etc.) then post in the "Questions about Experience 6" forum. 

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Practice Problem Videos

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