Prompt

Select and apply appropriate statistical tests.

<research_question>
{what you're trying to prove/disprove}
</research_question>

<data_characteristics>
- Sample size: {n for each group}
- Variable types: {continuous/categorical/ordinal}
- Distribution: {normal/non-normal}
- Groups: {independent/paired}
</data_characteristics>

<assumptions_check>
{what you've verified}
</assumptions_check>

Select and apply:
1. Test selection logic
   - Decision tree for test choice
   - Assumptions verification
   - Alternative tests if violated
   
2. Power analysis
   - Effect size calculation
   - Sample size adequacy
   - Type I/II error rates
   
3. Test execution
   - Hypothesis formulation
   - Test statistic calculation
   - P-value interpretation
   - Confidence intervals
   
4. Results interpretation
   - Statistical significance
   - Practical significance
   - Effect size reporting
   - Limitations acknowledgment

Include R/Python code.