Differentiate P-value and Confidence Interval in Statistics

Q: Differentiate P-value and Confidence Interval in Statistics

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.

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Question

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.

Differentiate P-value and Confidence Interval in Statistics

Statistics Knowledge Check (Onsite Data Scientist)

Task

Questions

Solution

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