Statistics can be a superpower for programmers, enhancing data interpretation and display. Evan Miller provides a cheat-sheet of useful statistical formulas, adding commentary to motivate each one and links for further learning. From reporting averages to comparing distributions, the formulas cover a range of scenarios. Some surprising aspects include finding confidence intervals for Poisson parameters and conducting conditional tests for Poisson means. The content emphasizes the importance of statistical analysis in programming and offers practical tools for developers. The author’s approach is informative and engaging, making complex statistical concepts more accessible.
https://www.evanmiller.org/statistical-formulas-for-programmers.html