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Aim of this course is to make understand the fundamentals of the statistical inference. Students will receive a broad overview of the goals, assumptions and modes of performing statistical inference. At the end of the course students will be able to perform inferential tasks in highly targeted settings and will be capable to use the skills developed as a roadmap for more complex inferential challenges.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
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Course Credit: JHSPH Open
Course Curriculum
Assessment | |||
Introduction to Inference and Motivating Examples | 00:10:00 | ||
Probability | 01:27:00 | ||
Conditional Probability | 00:20:00 | ||
Expectations | 00:15:00 | ||
Variability | 00:20:00 | ||
Common Distributions | 00:20:00 | ||
Asymptotics | 00:30:00 | ||
p-Values | 00:10:00 | ||
Power | 00:15:00 | ||
Multiple Comparisons | 00:20:00 | ||
Resampling | 00:20:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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