Interpreting and evaluating statistical inference results

What this note covers

1. What a confidence interval actually means
2. The three core assumptions of a confidence interval for a proportion
3. Effect of sample size on interval width
4. Effect of confidence level on interval width
5. Critically evaluating confidence interval results in context
6. Assumptions in practice: when things go wrong
7. Putting it together: a structured evaluation response

7 sections · 12 key terms & formulas · 6 common mistakes