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In this class, students will learn the fundamentals of statistical inference. Students will receive a broad overview of the goals, assumptions and modes of performing statistical inference. Students will be able to perform inferential tasks in highly targeted settings and will be able to use the skills developed as a roadmap for more complex inferential challenges.
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English [CC]
FREE
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Description
Schedule
The course is taught via 13 lectures-
- Introduction
- Probability
- Conditional Probability
- Expectations
- Variance
- Common Distributions
- Asymptotics
- T confidence intervals
- Hypothesis testing
- P-values
- Power
- Multiple Testing
- Resampling
Course content
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- Introduction to Inference and Motivating Examples 01:00:00
- Probability 01:00:00
- Conditional Probability 01:00:00
- Expectations 01:00:00
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- Variability 01:00:00
- Common Distributions 01:00:00
- Asymptotics 01:00:00
- T Confidence Intervals 01:00:00
- p-Values 01:00:00
Instructor
OpenCoursa
Accessible Education for Everyone
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