ST313 course page
Ethics for data science: the statistical choices hidden inside technical steps, and who they affect.
Each week has one lecture and one class (80 minutes each, lecture first). The notes are the main reference; the slides are what is shown in the lecture; the class sheet is what you work through in class, and its .qmd link downloads the source to run the R code. Bring a laptop with R and RStudio to the class.
Week 1: Selection and the replication crisis
Why a literature of honest tests can still be wrong on average: power, the significance filter, and what a published estimate is conditioned on. The standing question, with two cases.
Reading: ms4ds, chapter 3: Ethical data science, sections 3.1 to 3.6 · Wikipedia: Replication crisis, skim
Class: class sheet (.qmd)