Differentiate P-value and Confidence Interval in Statistics
Overview
This question evaluates a candidate's mastery of inferential statistics, including interpretation of p-values versus confidence intervals, selection and assumptions of hypothesis tests (t-test versus chi-square), and understanding of Type I and Type II errors.
Apple
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Statistics & Math
0
0
Statistics Knowledge Check (Onsite Data Scientist)
Task
Explain core inferential statistics concepts and when to apply common hypothesis tests.
Questions
- What is the difference between a p-value and a confidence interval (CI)? Include correct interpretations and common pitfalls.
- When would you use a t-test versus a chi-square (χ²) test? State the assumptions and typical use cases.
- Define Type I and Type II errors and give practical examples.
Solution
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