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January

22 introduction 24 summarizing and presenting data 26 experimental design 29 statistics and probability 31 random variables and distributions.

February

2 + 5 + 7 random variables and distributions 9 multiple random variables 12 sampling distributions 14 + 16 + 19 + 21 confidence intervals 23 + 26 hypothesis testing 28 sample size and power calculations.

March

1 + 4 sample size and power calculations 6 permutation and non-parametric tests 8 confidence intervals for proportions 11 + 13 maximum likelihood estimation.

March

25 + 27 goodness of fit 29 contingency tables.

April

1 contingency tables 3 + 5 + 8 analysis of variance 10 analysis of variance / multiple comparisons 12 analysis of variance / model assumptions and diagnostics 15 analysis of variance / non-parametric methods 17 analysis of variance / nested models 19 + 22 analysis of variance / two-way models 24 correlation 26 linear regression 29 prediction and calibration.

May

1 regression and correlation 3 multiple linear regression 6 non-linear regression 8 logistic regression 10 linear mixed effects / longitudinal data analysis 13 linear mixed effects / analysis of variance 15 miscellaneous topics.