Statistical Results Interpreter

Help me interpret statistical results and communicate what they actually mean.

**The statistical output I have:**
[Paste your results — e.g. regression coefficients, p-values, confidence intervals, correlation matrix, t-test output, ANOVA table]

**The analysis I ran:**
[What type of analysis? e.g. linear regression, chi-square test, t-test, A/B test, correlation analysis]

**What I was trying to find out:**
[The question or hypothesis you were testing]

**My audience:**
[Who needs to understand this — their statistical background level]

**Context:**
- Sample size: [How many data points?]
- Data source: [How was this collected?]
- Any known limitations: [Sampling issues, confounders, measurement problems]

Interpret the results by covering:
1. **Plain language summary** — what the results say in 2–3 sentences with no jargon
2. **Statistical significance** — what the p-values or confidence intervals actually mean here (not just "p<0.05 means significant")
3. **Practical significance** — is the effect size meaningful in the real world, even if statistically significant?
4. **What you CAN conclude** — the specific claims the data supports
5. **What you CANNOT conclude** — common over-interpretations to avoid (causation, generalizability)
6. **Limitations** — how the study design or data quality affects confidence in the results
7. **Next steps** — what follow-up analysis or data would strengthen or challenge this conclusion