Worked examples: the reproducible analysis behind every lesson
Every lesson we publish has a chapter called "the worked example". This is that document. Real data, the analysis that produced every number on screen, the source you can re-run, and the limits of what each method can tell you.
Your A/B test says the new page won. Did it?
The worked example behind our A/B testing lesson: 2,300 visitors over four weeks, where the raw conversion count and the conversion rate name opposite winners, and the thing that separated them was the rollout schedule.
Where is the biggest leak in your funnel?
The worked example behind our funnel lesson: 2,500 accounts through five steps, where "biggest leak" turns out to be two questions naming different steps, and a channel that is best at one step and worst at the next.
How long does a subscription account really last?
The worked example behind our survival lesson: 320 B2B accounts, a third still running, and why averaging only the churned ones understates account lifetime by 44%. Three independent implementations agree.
Which multiple-comparison correction do you actually need?
The reproducible worked example behind our multiple-comparisons lesson: 66 pairwise correlations on 1,599 wines, corrected four ways, cross-checked against R's own p.adjust.
McNemar's test or chi-square? Paired yes/no data, decided.
The reproducible worked example behind our McNemar lesson: 200 paired approve/deny decisions, agreement, kappa, and the four variants of the test.
Which ICC do you actually need?
The reproducible worked example behind our ICC lesson: the same ratings scored by different ICC forms, with confidence intervals.
Why we publish these
An analysis you cannot check is an opinion. Each document derives its figures live rather than quoting them, cross-checks against the reference implementation where one exists, and records what the review caught, including when the thing it caught was our own mistake.
Your turn
Bring your own data and the question you actually need answered.
CympleData Scientist Send me your data and question, I’ll send you the analytics. ds@mcpanalytics.ai