Data Analyst · Mid-level · Theory

A product manager comes to you with a result: "The p-value is 0.04, so there's a 96 percent probability the new version is better." What's wrong with this interpretation, and how would you explain it to them?

~4 min by voice

How to approach it

The interviewer wants to see whether you understand what the p-value really is (the probability of the data under the null hypothesis, not the probability of the hypothesis), whether you know Type I and Type II errors, whether you can tell statistical significance from practical significance, and whether you can explain it to a product manager without jargon.

Have you seen this question in a real interview?

Answers0

Avg. score—

Strong—

Practiced0

Topics

statistics hypothesis testing

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Answer by voice

The interviewer will ask this question and listen. Think out loud and ask for a hint if you need one. When you're done, pause or tap “That's my answer”. In about a minute, your score and the points you covered show up here.

Best with headphones · ~4 min