P-Value Interview Questions
P-value interview questions for quant statistics interviews, including null models, tail probabilities, interpretation, and common mistakes.
Candidates who need hypothesis-testing intuition.
A p-value is conditional on the null
A p-value is the probability, under the null model, of seeing a result at least as extreme as the observed result by the chosen test statistic.
It is not the probability the null is true
The p-value conditions on the null. It does not directly give P(null true | data), so avoid turning it into a posterior probability.
Concrete example
A small p-value says the observed statistic would be unusual under the null model. It does not automatically say the effect is large or important.
Connect to decision thresholds
Interviewers may ask what changes if the threshold is 5 percent versus 1 percent. Discuss false positives, power, and context.
Common mistakes
Candidates often treat p-values as truth probabilities. State the null model and the conditioning before interpreting the number.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.