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Lockheed Martin Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Let’s say that you are working as a data scientist at Amazon Prime Video, and they are about to launch a new show, but first want to test the launch on only 10,000 customers first

<ol>
<li>How do we go about selecting the best 10,000 customers for the pre-launch?</li>

<li>What would the process look like for pre-launching the TV show on Amazon Prime to measure how it performs?</li>
</ol>

How do we go about selecting the best 10,000 customers for the pre-launch?

Pre-Launching Shows

A/B Testing & Experimentation

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Question	Topic	Difficulty	Ask Chance
Pre-Launching Shows	A/B Testing & Experimentation	Medium	Very High
Boarding Times Bias	Statistics	Medium	High
Hundreds of Hypotheses	Statistics	Medium	High

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