Hypothesis Testing & p-values (t-test / chi-square / ANOVA)
Statistics skills for the Data Scientist career path. Filter, model, and reason about the real data this role works with every day.
Statistics skills for the Data Scientist
Building on Probability & Distributions, this lesson focuses on the practical Statistics toolkit a working Data Scientist reaches for on the job.
Try the first query
SELECT example, value
FROM statistics_dataset
WHERE priority = '1'
AND career = 'Data Scientist';
▸ preview · Sprint-2 will replace this with a live runner
A/B Testing & Experimental Design
Once this topic clicks, the recommended next step keeps the learning streak going on adjacent skills in the same career path.
continue path →Sprint-1 stub
This is the Sprint-1 stub for ai.careerplane.data-analytics.data-scientist.statistics.hypothesis-testing.
The fully-generated topic page (sandbox + quiz + AI hints + interactive
tooling) lands in Sprint-2 at
(per arch/memo.md → D-2026-04-22-13). The
//go:embed all:static directive auto-serves
it on the next container rebuild — no server-code change needed.