|Learning Objectives: using examples,
- argue the (in)appropriate visual tool -- chart, graph, map and table -- for given data and results (MDM I, II)
- defend the use of two parametric and two non-parametric tests of difference (Parametric vs, Wikipedia)
- explain Hume's four conditions -- contiguity, constant conjunction, antecedence, necessary conjunction -- for causality (Cell phones, Flashcards, Wikipedia, Snapshot)
- demonstrate signifcance level's relationship with Type I and Type II errors (Wikipedia)
|Discuss and Reflect
- What is the right amount of visuals? Why?
- Why test for difference?
- When should one not use the most powerful test?
- Why is a Type I or Type II error worse?
- How will dynamic visualisations, such as over time, influence viewing platforms?
- Support interesting inferential tests for your ANZMAC story
- Support specific visuals for your interesting ANZMAC story
- Scan week 7 learning objectives