For whatever reasons, much of the community that does DOE's is beset with heavy use of opaque jargon and flagrant use of "canned tests" from software packages l

For whatever reasons, much of the community that does DOE's is beset with heavy use of opaque jargon and flagrant use of "canned tests" from software packages like minitab. Making statistical inferences from data is nuanced and complicated if the thing you're interested in doesn't just pop-out from simple descriptive statistics treatments (histograms, box-plots, scatterplots, simple linear models). There are some islands of sanity: - NIST has a great resource (https://www.itl.nist.gov/div898/handbook/index.htm https://www.itl.nist.gov/div898/handbook/index.htm). Don't be alarmed by the retro html appearance. It's actually meticulously maintained and contains reproduceable examples with data. The plain language is such a relief compared to other references. - "Statistics for Experimenters" the book by George Box et al, is a great resource that's fairly comprehensive in my opinion. Good, clear writing. It seems to be widely available online (don't know if that's intentional).