Links for Day 2
page 10: Finite population correction factors: https://www.ma.utexas.edu/users/parker/sampling/repl.htm
page 18: Shiny applet to show the sampling distribution of a mean https://istats.shinyapps.io/sampdist_cont/
pages 23 and 38: Central Limit Theorem illustrations http://www.austincc.edu/mparker/1342/cltdemos.htm
page 32
- Allison et al, A Tragedy of Errors, Nature 530, 4 February 2016, 28 – 29, http://www.nature.com/news/reproducibility-a-tragedy-of-errors-1.19264
- Kamoun, S. and C. Zipfel, Scientific record: Class uncorrected errors as misconduct, Nature 531, 10 March 2016, 173, http://www.nature.com/nature/journal/v531/n7593/full/531173e.html
- Gelman and commenters, http://andrewgelman.com/2016/02/22/its-too-hard-to-publish-criticisms-and-obtain-data-for-replication/
- PubPeer (https://pubpeer.com/)
- Retraction Watch (http://retractionwatch.com/)
- Authors sometimes post errors or corrections on their own website.
- bioRxiv (http://biorxiv.org/) is a biology preprint server that also allows moderated public comments on posted papers. It classifies replication studies as Confirmatory or Contradictory.
page 46: Many confidence intervals http://visualize.tlok.org/elem-stat/mean_confidence_intervals.php