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<p>Let’s say you work for a small airline.
You’re given three tables: <code>flights</code>, <code>planes</code>, and <code>flight_purchases</code>.</p>

<p>Write a query to find the number of unpurchased seats for each flight.</p>

<p>For the purposes of this question, assume that there will be no entries in the <code>flight_purchases</code> table for flights or seats that do not exist.</p>

<p><strong>Example:</strong></p>

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

<p><code>flights</code> table</p>

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

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

<tr>
<td><code>plane_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>planes</code> table</p>

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

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

<tr>
<td><code>number_of_seats</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>flight_purchases</code> table</p>

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

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

<tr>
<td><code>seat_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

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

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

<tr>
<td><code>free_seats</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Free Seats

<p>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.</p>

<p>What factors could have biased this result, and what would you look into?</p>


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

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?

<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?

Question	Topic	Difficulty	Ask Chance
Free Seats	SQL	Medium	Very High
Boarding Times Bias	Statistics	Medium	Medium
Hundreds of Hypotheses	Statistics	Medium	Medium

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