The first part of the final will include 38-40 multiple choice questions that will ask you to apply your knowledge from laboratory, lessons, and lecture clips.
You are permitted to reference one standard 8.5×11 sheet of paper including anything that you think will help you in the exam (your notes may be written on both sides). This part of the exam contains no coding – but you are expected to be able to read and interpret output from R.
Topics:
- Sampling (a) cluster, simple random, stratified, etc., (b) importance of randomness, (c) sample selected vs. population you want to infer to.
- Observational vs. Experimental studies
- Independent and Dependent variables
- Confounding (aka statistical control) and Moderation (aka statistical interaction)
- Multiple regression (types of variables that can be used, reading output, interpreting coefficients, p values )
- Logistic regression (types of variables that can be used, reading output, interpreting coefficients, p values and odds ratios)