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Wish Interview Questions

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

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Say you are given a list of tuples where the first element is the slope of a line and the second element is the y-intercept of a line.

Write a function <code>find_intersecting</code> to find which lines, if any, intersect with any of the others in the given <code>x_range</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>tuple_list = [(2, 3), (-3, 5), (4, 6), (5, 7)]
x_range = (0, 1)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def find_intersecting(tuple_list, x_range) -&gt; [(2,3), (-3,5)]
</code></pre>

Write a function to find which lines, if any, intersect with any of the others in the given x_range.

Intersecting Lines

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?

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?

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