Here are some articles for the project for the graduate crash course on probability and statistics,

• The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time
• An investigation of the false discovery rate and the misinterpretation of p-values
• Final collapse of the NeyMan-Pearson decision theoretic framework and rise of neoFisherian
• p – value, a true test of statistical significance? a cautionary note 
• Statistical tests, p values, confidence intervals, and power: a guide to misinterpretations
• P Values and Statistical Practice
• Points of significance: Power and sample size

For those willing to work on datasets, consider success per school in a national exam, over time (here is the file)

base=read.table("http://freakonometrics.free.fr/brevet_rennes.csv", header=TRUE,sep=";",dec=",")

Some datasets will be uploaded soon

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