* **Big data** = now possible to collect data cheap, but not necessarily all useful (need the right data)

* **Statistical inference** = select subset, run experiment, calculate descriptive statistics, use inferential statistics to determine if results can be applied broadly

* ***[Inference]*** **Variability** = lower variability + clearer differences = decision

* ***[Inference]*** **Confounding** = underlying variable might be causing the correlation (sometimes called Spurious correlation)

* **Accuracy** = Pr(correct outcome)

* **Data dredging** = use data to fit hypothesis

* **Good experiments** = have replication, measure variability, generalize problem, transparent