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.
8 resources
A decision path from your design to the right test, and what to do when the assumptions fail.
What belongs in Introduction, Methods, Results, and Discussion — and the sentences that end up in the wrong one.
Patterns that recur in projects that place, drawn from judging rubrics rather than from any single project.
Fifteen checks to run on your abstract before submitting it.
Why the style matters less than the consistency, and the four fields you must never omit.
The vocabulary of scientific caution, and why over-claiming costs more than it gains.
Why chronological reviews read badly, and what to organise by instead.
A worked template, plus the four failure modes that make a hypothesis untestable.