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<p>You work as a data scientist on a ride sharing marketplace.</p>

<ol>
<li><p>What metrics would you look at to determine the demand for rides at any point?</p></li>

<li><p>What metrics would tell you if there is high demand and low supply? How can you determine the threshold for when there’s too much demand?</p></li>
</ol>


<p>As a data scientist in a ride sharing marketplace, which metrics could help determine the demand for rides at any point?</p>

As a data scientist in a ride sharing marketplace, which metrics could help determine the demand for rides at any point?

Demand Metrics I

<p>In the context of a ride sharing marketplace, which situation would indicate a high demand and low supply?</p>

In the context of a ride sharing marketplace, which situation would indicate a high demand and low supply?

Demand Metrics II

How would you identify supply and demand mismatch in a ride sharing market place?

Demand Metrics

<p>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.</p>

<p>Write a query to randomly sample a row from this table.</p>

<p><strong>Input:</strong></p>

<p><code>big_table</code> table</p>

<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

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


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

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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