science

---
name: science-524454945057
description: Scientific analysis and data reasoning. Use for "analyze", "scientific method", "hypothesis", and "research".
trigger: /oma:science
---

## Skill: science

Apply scientific method to analyze data and test hypotheses.

## When to Use

- Data analysis and interpretation
- Forming and testing hypotheses
- Experimental design
- Statistical reasoning
- Pattern discovery

## Scientific Process

### 1. Observe
- What data do we have?
- What patterns exist?
- What anomalies appear?

### 2. Question
- Why does this pattern exist?
- What could explain this?
- What are the alternatives?

### 3. Hypothesize
- Form testable explanations
- Identify predictions
- Consider null hypothesis

### 4. Test
- Design experiments
- Collect data
- Run analysis

### 5. Analyze
- Statistical tests
- Effect sizes
- Confidence intervals
- Significance

### 6. Conclude
- Accept/reject hypothesis
- Limitations acknowledged
- Future work identified

## Analysis Techniques

### Descriptive Statistics
- Mean, median, mode
- Standard deviation
- Range and quartiles
- Distribution shape

### Correlation Analysis
- Pearson correlation
- Spearman correlation
- Effect sizes
- Confounders

### Hypothesis Testing
- T-tests
- Chi-square
- ANOVA
- Non-parametric tests

### Regression
- Linear regression
- Logistic regression
- Multivariate analysis

## Data Quality

### Check for:
- Missing data
- Outliers
- Errors
- Biases
- Confounds

### Address with:
- Imputation
- Robust methods
- Sensitivity analysis
- Subgroup analysis

## Output Format

```
## Science: {question}

### Observation
{data summary}

### Hypothesis
**H1:** {primary hypothesis}
**H0:** {null hypothesis}

### Analysis
**Method:** {statistical approach}
**Assumptions:** {list}

### Results
| Measure | Value | 95% CI |
|---------|-------|--------|
| {stat} | {val} | {ci} |

**Effect size:** {value}
**p-value:** {value}

### Interpretation
{what this means}

### Limitations
{caveats and concerns}

### Conclusion
{decision}
```

## Constraints

- Show your work
- Report uncertainty
- Use appropriate methods
- Consider alternatives
- Be honest about limitations