Interpreting Scientific Figures and Statistics

Written By Mary Bates
Correlation does not equal causation. John Lester, via Flickr. Distributed under a CC BY 2.0 license.

Correlation does not equal causation. John Lester, via Flickr. Distributed under a CC BY 2.0 license.

Data visualizations can be powerful tools for communicating science. But careless or incorrect figures can misrepresent data and mislead the public. If you look out for a few common errors, you can be a savvier consumer of data visualizations.

Check out the factsheet I wrote for the American Society of Human Genetics: Interpreting Scientific Figures and Statistics.

Mary Bates
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