when studying probability. Coursera’s course on Biostatistical bootcamp highlights the importance of asking the following questions:
- What is being modeled as random?
- Where does this attributed randomness arise from?
- Where did the systematic model components arise from?
- How did observational units come to be in the study and is there importance to the missing data points?
- Do the results generalize beyond the study in question?
- Were important variables unaccounted for in the model?
- How drastically would inferences change depending on the answers to the previous questions?
Asking these questions will help us truly understand the subject of probability and statistics in the context of problem being modeled.