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Wish Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

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?

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