Case Study - Storks vs Babies
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
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.
- Robert Matthews (2000) Storks deliver babies (p=0.008). Teaching Statistics 22:36-38
- Calling Bull video 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.
Contents
Correlation.docx(DOCX | 1 MB)
- License terms
Cite this work
Researchers should cite this work as follows:
- Diaz Eaton, C. D. (2020). Case Study - Storks vs Babies. Calling Bull - a resource sharing and teaching community, QUBES Educational Resources. doi:10.25334/MS64-ZB24
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Notes
This could easily be adapted for Google Spreadsheets/Excel.
Calling Bull - a resource sharing and teaching community
This publication belongs to the Calling Bull - a resource sharing and teaching community group.
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