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Case Study - Storks vs Babies

By Carrie Diaz Eaton

Bates College and QUBES

This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation vs causation in a fun way.

Listed in Teaching Materials | resource by group Calling Bull - a resource sharing and teaching community

Version 1.0 - published on 11 Nov 2020 doi:10.25334/MS64-ZB24 - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Rplot01.jpeg

Description

This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper (replication), learn a bit about R for linear fits and graphing, (including pulling fit coefficients from the summary stats), exposure to p-values, and explore correlation versus causation in a fun way. This paper was discussed also as part of the videos from Calling Bull on Causality.

I run this as a in-class lab day. Typically students have already been exposed to the case study, read the project description before class, and can finish within a 80 minute class period (though I also do other intro stuff, so I think you could do this in an hour class). It is constructed so that I or a TA check off people in class, typically seeing the original code run, ask about an alternative explanation, and then seeing that code implemented as part of the "modify" activity.

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Notes

This could easily be adapted for Google Spreadsheets/Excel.

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