15 - Summary of Statistical Inferences, public health applications, introduction to Bayesian statistics (Dec. 14-20)

Summary of Inference and Introduction to Bayesian Statistics

Learning Objectives 

• Summarize the inference methods covered in the course and provide a short description of their application. 
• Explain the basic concepts behind Bayesian statistics. 
• Describe the Bayesian process of using observations to update the probability that a hypothesis may be true.

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Video Lectures

• Lesson 19 "Introduction to Summary of Statistical Inferences" Links to an external site. (1 minute)
• Lesson 19 Links to an external site. (18 minutes)
• OPTIONAL: Lesson 16 "Introduction to Public Health Applications" Links to an external site. (2 minutes)
• Lesson 16.1 Links to an external site. (18 minutes)
• Lesson 16.2 Links to an external site. (20 minutes)
• Lesson 16.3 Links to an external site. (16 minutes)
• OPTIONAL: Lesson 20: "Introduction to Bayesian Statistics" Links to an external site. (18 minutes)

 

Assignments

• No homework or lab -- review course material!
• Final Exam: 180 minutes, Friday 12/16 - Sunday 12/18

 

Required Online Adobe Connect Sessions

• Wednesday, Dec. 14, 7-8:20 pm ET - Happy Hour with Rod Little
• Exam review
• Week 15 Happy Hour recording

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Powerpoint Slides

• Lesson #16 video lecture slides Download Lesson #16 video lecture slides
• Lesson #19 video lecture slides Download Lesson #19 video lecture slides
• Lesson #20 video lecture slides Download Lesson #20 video lecture slides
• Lesson #19 summary slides Download esson #19 summary slides
• Happy Hour slides

 

Additional Resources

• Practice quizzes, vocabulary flashcards, statistical applets