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.
7 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.
A four-step method for getting from "I like marine biology" to a question you can test with the equipment you actually have.
Negative, positive, vehicle, and sham controls — and how to tell which your experiment needs.
The vocabulary of scientific caution, and why over-claiming costs more than it gains.
Turning "healthier", "faster", and "better" into something two people would measure the same way.
How to identify all four in your own design, with a worked example.