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Santander Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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You work at a freight shipping company with a large fleet of trucks. These trucks are based around the nation, with a mix of Mercedes and BMW models represented. The location of each truck that your company owns is stored as <code>(x,y)</code> coordinates in your database.

Given a list of locations that your trucks are stored at, return the top location <code>(x,y)</code> for each model of truck (Mercedes or BMW).

You can assume that there is one location with the most model of a truck, e.g. there will not be any locations that are tied for most BMWs stored.

Example:

Input:

<pre tabindex="0" class="chroma"><code>truck_locations = [{
 &#34;model&#34; : &#34;BMW&#34;,
 &#34;location&#34; : (1,2)
 },
 {
 &#34;model&#34; : &#34;Mercedes&#34;,
 &#34;location&#34; : (2,3)
 },
 {
 &#34;model&#34; : &#34;Mercedes&#34;,
 &#34;location&#34; : (2,2)
 },
 {
 &#34;model&#34; : &#34;Mercedes&#34;,
 &#34;location&#34; : (2,3)
 },
 {
 &#34;model&#34; : &#34;BMW&#34;,
 &#34;location&#34; = (1,2)
 },
 {
 &#34;model&#34; : &#34;BMW&#34;,
 &#34;location&#34; : (3,3)
 }
 ]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def truck_frequent_location(truck_locations) -&gt; { 
 &#34;Mercedes&#34; : (2,3), 
 &#34;BMW&#34; : (1,2) 
 }
}
</code></pre>

Explanation:

Mercedes repeated two times at location <code>(2,3)</code> and one time at the location <code>(2,2)</code>, so <code>(2,3)</code> is our most stored Mercedes location.

BMW repeated two times at location <code>(1,2)</code> and one time at the location <code>(3,3)</code>, so <code>(1,2)</code> is our most stored BMW location.

Given a list of locations that your trucks are stored at, return the top location for each model of truck (Mercedes or BMW).

Location Frequency

Python & General Programming

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
Location Frequency	Python & General Programming	Medium	Very High
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High

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