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Statistics & Experimentation Interview Questions

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Asked at Lyft • a year ago
A discount coupon is given to N riders. The probability of using a coupon is P. What is the probability that one of the coupons will be used?
Data Scientist
Statistics & Experimentation
2 answers I was asked this
"Probability that one of the coupons is used = 1 - Probability that no coupon is used = 1 - nC0 p^0 * (1-p)^n = 1 -(1-p)^n"
Chetak C. - "Probability that one of the coupons is used = 1 - Probability that no coupon is used = 1 - nC0 p^0 * (1-p)^n = 1 -(1-p)^n"See full answer
Data Scientist
Statistics & Experimentation
Tell me about a time you conducted a failed experiment.
Statistics & Experimentation
Behavioral
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Statistics & Experimentation
Behavioral
A newly launched mobile app has a 25% drop-off during sign-up. How would you investigate the issue?
Data Scientist
Statistics & Experimentation
+1 more
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Data Scientist
Statistics & Experimentation
+1 more
When rolling two fair dice, what is the likelihood of the sum being less than 12?
Data Scientist
Statistics & Experimentation
2 answers I was asked this
"total outcomes : 36 total favourable outcomes : 35 probability of favourable outcomes: 35/36"
Ayushi A. - "total outcomes : 36 total favourable outcomes : 35 probability of favourable outcomes: 35/36"See full answer
Data Scientist
Statistics & Experimentation
What if your test metric is not normally distributed?
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation

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Why might a statistically significant result not always be practically significant?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
If you sample 10,000 users multiple times, what would the distribution of false positives look like?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How would you measure correlation in the presence of outliers?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How would you explain a confidence interval to a non-technical audience?
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation
What is the expectation of the variance?
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation
Difference between power and confidence level.
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation
Which is greater: 'log(120)' or 'log(1) + log(2) + log(3) + log(4) + log(5)'?
Data Scientist
Statistics & Experimentation
2 answers I was asked this
"Equal. log(a)+log(b)=log(axb) => log(1)+log(2)+log(3)+log(4)+log(5) = log(2x3x4x5)=log(120)"
Alireza K. - "Equal. log(a)+log(b)=log(axb) => log(1)+log(2)+log(3)+log(4)+log(5) = log(2x3x4x5)=log(120)"See full answer
Data Scientist
Statistics & Experimentation
When designing an experiment, how do you determine which metrics you should use? What makes a good metric?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How would you measure engagement for a productivity app? What features or behaviors would you track?
Data Scientist
Statistics & Experimentation
+1 more
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Data Scientist
Statistics & Experimentation
+1 more
Walk me through how you'd assess the success of a beta launch.
Data Scientist
Statistics & Experimentation
+1 more
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Data Scientist
Statistics & Experimentation
+1 more
Why is the standard deviation more useful than the range in describing the variability of a dataset?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
You’re told engagement is flat even though new users are increasing—what questions would you ask and what data would you look at?
Data Scientist
Statistics & Experimentation
+1 more
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Data Scientist
Statistics & Experimentation
+1 more
How would you test the impact of expanding into a new international market?
Data Scientist
Statistics & Experimentation
+4 more
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Data Scientist
Statistics & Experimentation
+4 more
The leadership team wants to understand the ROI of a new feature—how would you structure that analysis?
Data Scientist
Statistics & Experimentation
+1 more
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Data Scientist
Statistics & Experimentation
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After launching a new recommendation engine, how would you measure its impact on revenue?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
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Statistics & Experimentation Interview Questions

A discount coupon is given to N riders. The probability of using a coupon is P. What is the probability that one of the coupons will be used?

Tell me about a time you conducted a failed experiment.

A newly launched mobile app has a 25% drop-off during sign-up. How would you investigate the issue?

When rolling two fair dice, what is the likelihood of the sum being less than 12?

What if your test metric is not normally distributed?

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

If you sample 10,000 users multiple times, what would the distribution of false positives look like?

How would you measure correlation in the presence of outliers?

How would you explain a confidence interval to a non-technical audience?

What is the expectation of the variance?

Difference between power and confidence level.

Which is greater: 'log(120)' or 'log(1) + log(2) + log(3) + log(4) + log(5)'?

When designing an experiment, how do you determine which metrics you should use? What makes a good metric?

How would you measure engagement for a productivity app? What features or behaviors would you track?

Walk me through how you'd assess the success of a beta launch.

Why is the standard deviation more useful than the range in describing the variability of a dataset?

You’re told engagement is flat even though new users are increasing—what questions would you ask and what data would you look at?

How would you test the impact of expanding into a new international market?

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

After launching a new recommendation engine, how would you measure its impact on revenue?

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