Aggregation: from tables and means to least squares
Information: its measurement and rate of change
Likelihood: calibration on a probability scale
Intercomparison: within-sample variation as a standard
Regression: multivariate analysis, Bayesian inference, and causal inference
Design: experimental planning and the role of randomization
Residual: scientific logic, model comparison, and diagnostic display.
