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A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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<p>You work at Stack Overflow on the community team that monitors the health of the platform.</p>

<p>Community members can create a post to ask a question, and other users can reply with answers or comments to that question. The community can express their support for the post by upvoting or downvoting.</p>

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

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

<p><code>post_analytics</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th align="center">Type</th>
<th align="center">Description</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td align="center">INTEGER</td>
<td align="center">Primary key of posts table</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td align="center">INTEGER</td>
<td align="center">ID of the user who created the post</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td align="center">DATETIME</td>
<td align="center">Timestamp of the post</td>
</tr>

<tr>
<td><code>title</code></td>
<td align="center">VARCHAR</td>
<td align="center">Title of the post</td>
</tr>

<tr>
<td><code>body</code></td>
<td align="center">VARCHAR</td>
<td align="center">Text content of the post</td>
</tr>

<tr>
<td><code>comment_count</code></td>
<td align="center">INTEGER</td>
<td align="center">Total number of the comments on a post</td>
</tr>

<tr>
<td><code>view_count</code></td>
<td align="center">INTEGER</td>
<td align="center">Total number of the views on a post</td>
</tr>

<tr>
<td><code>answer_count</code></td>
<td align="center">INTEGER</td>
<td align="center">Total number of answers on a post</td>
</tr>

<tr>
<td><code>upvotes</code></td>
<td align="center">INTEGER</td>
<td align="center">Total number of upvotes on the post</td>
</tr>
</tbody>
</table>

<ol>
<li><p>Given a table of Stack Overflow posts data, suggest three metrics to monitor the health of the community.</p></li>

<li><p>Write the queries for these metrics in SQL.</p></li>
</ol>


Create and write queries for health metrics for stack overflow 

Community Health Metrics

<p>Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

<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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