3.6 Key concepts for this chapter

inferential statistics; statistical model; General Linear Model; sample; population; parameter estimate; standard error; confidence interval; sample size; standardizing; scaling; centring; partial coefficient; confounder; omitted variable bias; mediator; post-treatment variable; collider; bias; bad control; robustness; error term; residual; Normal distribution; homogeneity of variance; homoscedasticity; transformation