Statistical inference
Learning objectives
- Understanding the role of uncertainty in decision making.
- Understanding the importance of signal-to-noise ratio as a measure of evidence.
- Formulating the null and alternative hypotheses attached to a problem statement.
- Understanding and correctly interpreting \(p\)-values and confidence intervals;
Content
Warning
These readings should normally be completed before class, to ensure timely understanding and let us discuss the concepts together through various examples and case studies — the strict minimum being the course notes.
- Course notes: chapter 1 (Introduction) and 2 (Statistical Inference)
- Install R and RStudio
In class
- Syllabus
- Slides (pdf and code)
- Activity: reporting conclusion of tests
Slides
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