Statistical Test Selector
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7.9AI
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Submitted Jul 18AI evaluated Jul 18
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.
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