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Merge pull request #494 from alirezarezvani/fix/statistical-analyst-move

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refactor: move statistical-analyst to engineering/, fix cross-refs
This commit is contained in:
Alireza Rezvani
2026-04-07 11:18:27 +02:00
committed by GitHub
parent ed42b505a3 7c2564845a
commit 98b3c3ed08
5 changed files with 8 additions and 7 deletions
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14
data-analysis/statistical-analyst/SKILL.md → engineering/statistical-analyst/SKILL.md
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@@ -227,16 +227,16 @@ Structure all results as:
| Skill | Use When |
|---|---|
| `marketing/ab-test-setup` | Designing the experiment before it runs — randomization, instrumentation, holdout |
| `data-analysis/data-quality-auditor` | Verifying input data integrity before running any statistical test |
| `product/experiment-designer` | Structuring the hypothesis, success metrics, and guardrail metrics |
| `product/product-analytics` | Analyzing product funnel and retention metrics |
| `marketing-skill/ab-test-setup` | Designing the experiment before it runs — randomization, instrumentation, holdout |
| `engineering/data-quality-auditor` | Verifying input data integrity before running any statistical test |
| `product-team/experiment-designer` | Structuring the hypothesis, success metrics, and guardrail metrics |
| `product-team/product-analytics` | Analyzing product funnel and retention metrics |
| `finance/saas-metrics-coach` | Interpreting SaaS KPIs that may feed into experiments (ARR, churn, LTV) |
| `marketing/campaign-analytics` | Statistical analysis of marketing campaign performance |
| `marketing-skill/campaign-analytics` | Statistical analysis of marketing campaign performance |
**When NOT to use this skill:**
- You need to design or instrument the experiment — use `marketing/ab-test-setup` or `product/experiment-designer`
- You need to clean or validate the input data — use `data-analysis/data-quality-auditor` first
- You need to design or instrument the experiment — use `marketing-skill/ab-test-setup` or `product-team/experiment-designer`
- You need to clean or validate the input data — use `engineering/data-quality-auditor` first
- You need Bayesian inference or multi-armed bandit analysis — flag that frequentist tests may not be appropriate
---

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data-analysis/statistical-analyst/references/statistical-testing-concepts.md → engineering/statistical-analyst/references/statistical-testing-concepts.md
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data-analysis/statistical-analyst/scripts/confidence_interval.py → engineering/statistical-analyst/scripts/confidence_interval.py
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data-analysis/statistical-analyst/scripts/hypothesis_tester.py → engineering/statistical-analyst/scripts/hypothesis_tester.py
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data-analysis/statistical-analyst/scripts/sample_size_calculator.py → engineering/statistical-analyst/scripts/sample_size_calculator.py
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@@ -1,4 +1,5 @@
#!/usr/bin/env python3
from __future__ import annotations
"""
sample_size_calculator.py — Required sample size per variant for A/B experiments.