Skip to content

moheetsubudhi-isb/statistics-toolkit

v1.0.0MIT

Statistics skills for the moments that decide things at work: designing and reading A/B tests, comparing groups, estimating with a margin of error, setting control limits, checking causal claims, trusting a regression, giving honest prediction ranges, and modelling counts and rates.

estimate-with-margin-of-error

Estimate a true average or rate from a sample and say how precise it is, or work out how big a sample is needed. Always use this skill when someone asks for a confidence interval or margin of error, what a survey, audit, inspection or quality sample says about the whole population, how many records, customers or units to sample for a target precision, whether a sample is big enough to trust, whether to use a t or z interval for a small sample, or how to explain a confidence interval to a manager, even when the question sounds like a quick check. Also use it for intervals for proportions with small counts or rates near zero or one, finite populations, and sampling pitfalls such as convenience samples and non-response. Not for comparing two groups, not for sizing an A/B test, and not for explaining what a confidence interval means when no data is in play.

Read SKILL.md at the source

Pinned to revision a18d88341e79, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.