4 Tips to Improve Your Statistical Literacy

Statistical literacy (assessing statistical statements, arguments and associations) is extremely important for producing and interpreting results from data analysis, yet it usually isn't a part of mainstream statistics education [1]. From the correlation-causation error to immortal time bias, there are many ways to invalidate your results. You can lessen the odds by following a few good practices. When you design your analysis, make sure you're asking the right question. This isn't always easy, as the German Federal Ministry of the Interior, Building and Home Affairs found out after publishing a 2018 press release concerning the "successful" use of facial recognition technology at train stations [2].