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Statistics & Experimentation Interview Questions

Review this list of 75 statistics & experimentation interview questions and answers verified by hiring managers and candidates.

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Difference between power and confidence level.
Statistics & Experimentation
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Statistics & Experimentation
The leadership team wants to understand the ROI of a new feature—how would you structure that analysis?
Data Analyst
Statistics & Experimentation
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Data Analyst
Statistics & Experimentation
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The product team reports a decline in 30-day user retention. How would you approach this problem?
Data Analyst
Statistics & Experimentation
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Data Analyst
Statistics & Experimentation
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What if your test metric is not normally distributed?
Statistics & Experimentation
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Statistics & Experimentation
What are the Z and t-tests?
Statistics & Experimentation
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Statistics & Experimentation

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How would you design an analysis to understand what drives long-term user retention in a subscription service?
Statistics & Experimentation
Data Analysis
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Statistics & Experimentation
Data Analysis
You’re given product adoption data across regions—how would you determine where the rollout was most successful and why?
Data Analyst
Statistics & Experimentation
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Data Analyst
Statistics & Experimentation
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How can you verify that assignment to A/B testing groups was truly random?
Statistics & Experimentation
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Statistics & Experimentation
Why might a statistically significant result not always be practically significant?
Statistics & Experimentation
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Statistics & Experimentation
Why might an unbiased estimator not always be preferred over a biased one?
Statistics & Experimentation
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Statistics & Experimentation
How would you measure correlation in the presence of outliers?
Statistics & Experimentation
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Statistics & Experimentation
Describe hypothesis testing and p-values in layman’s terms.
Statistics & Experimentation
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Statistics & Experimentation
Explain the statistical background behind power.
Statistics & Experimentation
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Statistics & Experimentation
How would you explain the importance of sampling distribution in inferential statistics?
Statistics & Experimentation
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Statistics & Experimentation
Compare covariance and correlation.
Statistics & Experimentation
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Statistics & Experimentation

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Statistics & Experimentation Interview Questions

Difference between power and confidence level.

The leadership team wants to understand the ROI of a new feature—how would you structure that analysis?

The product team reports a decline in 30-day user retention. How would you approach this problem?

What if your test metric is not normally distributed?

What are the Z and t-tests?

How would you design an analysis to understand what drives long-term user retention in a subscription service?

You’re given product adoption data across regions—how would you determine where the rollout was most successful and why?

How can you verify that assignment to A/B testing groups was truly random?

Why might a statistically significant result not always be practically significant?

Why might an unbiased estimator not always be preferred over a biased one?

How would you measure correlation in the presence of outliers?

Describe hypothesis testing and p-values in layman’s terms.

Explain the statistical background behind power.

How would you explain the importance of sampling distribution in inferential statistics?

Compare covariance and correlation.

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