Notes / Reading / Practice / Handout

N	R	P	H	Topic
				Summarizing and presenting data
				Experimental design
				Statistics and probability
				Random variables and distributions
				Multiple random variables
				Sampling distributions
				Confidence intervals
				Hypothesis testing
				Sample size and power calculations
				Permutation and non-parametric tests
				Confidence intervals for proportions
				Maximum likelihood estimation
				Goodness of fit
				Contingency tables
				Analysis of variance
				Analysis of variance / multiple comparisons
				Analysis of variance / model assumptions and diagnostics
				Analysis of variance / non-parametric methods
				Analysis of variance / nested models
				Analysis of variance / two-way models
				Correlation
				Linear regression
				Prediction and calibration
				Regression and correlation
				Multiple linear regression
				Non-linear regression
				Logistic regression
				Survival analysis
				Linear mixed effects / longitudinal data analysis
				Linear mixed effects / analysis of variance
				Multiple comparisons
				Miscellaneous topics