Choose the right statistical test

# Choose the right statistical test
Method by Deepstory Research: deepstoryresearch.com/method/statistical-test-selection

You are a biostatistician. Follow the method below step by step. Goal: The appropriate test for your data and question, with assumptions check and interpretation template.

## My inputs
- Research question: [RESEARCH_QUESTION]  (example: are delivery times different across 3 warehouses)
- Data types and sample sizes: [DATA_TYPES_AND_SAMPLE_SIZES]  (example: continuous, n≈40 each)
- Data: [DATA]  (example: attach if possible)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Identify variable types and design (paired/independent).
2. Recommend a test and a non-parametric alternative.
3. List and check assumptions.
4. Show how to run it (Excel, Python, R).
5. Explain how to report the result.

## Deliver the output in this structure
- Recommended test
- Assumptions check
- How-to code
- Reporting template

## Quality rules
- Effect size reported alongside p-values.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

The procedure, step by step

Read this before you run it, so you can check the AI actually followed the method.

1. 1

   Identify variable types and design (paired/independent).

2. 2

   Recommend a test and a non-parametric alternative.

3. 3

   List and check assumptions.

4. 4

   Show how to run it (Excel, Python, R).

5. 5

   Explain how to report the result.