Choosing a statistical test
A decision path from your design to the right test, and what to do when the assumptions fail.
- tests
- t-test
- anova
- +1
Curated guides, templates, and reading — the things worth knowing before you need them.
13 resources
A decision path from your design to the right test, and what to do when the assumptions fail.
Variables, controls, replication, randomisation, and blinding — what each one is protecting you from.
Column structure, the 40% white-space rule, and what to cut when it does not fit.
Attribution, data handling, and the grey areas that get projects disqualified.
A seven-sentence skeleton that fits the usual word limit and covers everything judges look for.
Working backwards from fair day, including the approval gates that stop work before it starts.
Patterns that recur in projects that place, drawn from judging rubrics rather than from any single project.
A fill-in template for stating design requirements, constraints, and test criteria before you build.
A free, authoritative reference covering experimental design and analysis. Dense, but the design-of-experiments chapters are excellent and worth the effort.
Block out your board before you open the design software — content first, layout second.
A five-column method for identifying and controlling hazards in mechanical, electrical, and thermal builds.
How to identify all four in your own design, with a worked example.
The approvals, supervision, and welfare standards that apply before any vertebrate work begins.