Below are slides (.pdf), R code (.R) extracted from the code that generated the slides, and YouTube links to recorded videos.

Chapter slide set files

If the files are ever not available here, you can find them here.


All probability pdfs concatenated.

Topic slides code videos
Probability pdf R Full
Discrete distributions pdf R Discrete vs continuous random variables
      Discrete random variables
Continuous distributions pdf R Continuous random variables
Central limit theorem pdf R Central Limit Theorem
      Approximating normal distributions
      Astronomy example
Multiple random variables pdf R Multiple random variables


All inference pdfs concatenated.

Topic slides code videos data
Statistics pdf R Field of statistics  
      Properties of estimators  
      Graphical statistics  
Likelihood pdf R Statistical models  
      Maximum likelihood estimators  
Bayesian parameter estimation pdf R Bayesian parameter estimation  
Exponential distribution pdf R Exponential  
Gamma distribution pdf R Gamma  
Inverse gamma distribution pdf R Inverse_gamma  
T distribution pdf R T distribution  
Normal model pdf R Normal model yield.csv
      Normal model example  
Sampling distribution pdf R Sampling distribution  
Confidence intervals pdf R Confidence intervals  
Statistical hypotheses pdf   Statistical hypotheses  
p-values pdf R p-values  
Hypothesis tests pdf R hypothesis tests  
T-tests pdf R t-tests  
Correspondence: p-values and CIs pdf R Correspondence: p-values and CIs  
What p-values don’t mean pdf R what p-values mean  
Posterior model probability pdf R One-sided alternatives  
      Two-sided alternatives  
      p-values vs posterior probabilities  
Comparing probabilities pdf R Comparing two probabilities  
      Comparing three or more probabilities  
Comparing means pdf R Comparing two means  
      Comparing three or more means  
      Comparing means with equal variances  
Multiple comparisons pdf R    


All regression pdfs concatenated.

Topic slides code video
Simple linear regression pdf R Simple linear regression
  pdf R Choosing explanatory variables
  pdf R Uncertainty and prediction intervals
Regression diagnostics pdf R Regression diagnostics in R}
Using logarithms in regression pdf R Logarithms
      an example
Categorical explanatory variables pdf R Binary variables
      Categorical variables
Multiple regression pdf R Multiple Regression
Interpreting p-values pdf R Interpreting p-values
ANOVA and F-tests pdf R ANOVA
Contrasts pdf R Contrasts
      Potato Scab Example
Experimental design pdf R Completely Randomized Design
      Randomized Complete Block Design
Two-way ANOVA pdf R Analysis of a Completely Randomized Design
      Analysis of Unbalanced or Incomplete Designs
      Analysis for Optimality

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Supplementary materials

Topic slides code
Logistic regression pdf R
Poisson regression pdf R
Random effects pdf R

Supplementary topics

Topic Source Handouts
Data Management Set01.Rnw Set01.pdf
Data Set02.Rnw Set02.pdf
Model comparison SetS04.Rnw SetS04.pdf
Random forests SetS05.Rnw SetS05.pdf