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<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?

Statistics

<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?

<p>The schema below is for a retail online shopping company consisting of two tables, <code>attribution</code> and <code>user_sessions</code>.</p>

<ul>
<li><p>The attribution table logs a session visit for each row.</p></li>

<li><p>If <code>conversion</code> is <code>true</code>, then the user converted to buying on that session.</p></li>

<li><p>The <code>channel</code> column represents which advertising platform the user was attributed to for that specific session.</p></li>

<li><p>Lastly the <code>user_sessions</code> table maps many to one session visits back to one user.</p></li>
</ul>

<p>First touch attribution is defined as the channel with which the converted user was associated when they first discovered the website.</p>

<p>Calculate the first touch attribution for each <code>user_id</code> that converted. </p>

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

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

<p><code>attribution</code> table</p>

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

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

<tr>
<td><code>channel</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>conversion</code></td>
<td>BOOLEAN</td>
</tr>
</tbody>
</table>
<p><code>user_sessions</code> table</p>

<table>
<thead>
<tr>
<th>column</th>
<th>type</th>
</tr>
</thead>

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

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><strong>Example output:</strong></p>

<table>
<thead>
<tr>
<th><code>user_id</code></th>
<th><code>channel</code></th>
</tr>
</thead>

<tbody>
<tr>
<td>123</td>
<td>facebook</td>
</tr>

<tr>
<td>145</td>
<td>google</td>
</tr>

<tr>
<td>153</td>
<td>facebook</td>
</tr>

<tr>
<td>172</td>
<td>organic</td>
</tr>

<tr>
<td>173</td>
<td>email</td>
</tr>
</tbody>
</table>


First Touch Attribution

<div><h2>Production Data Analyst</h2><p>The Production Data Analyst is responsible for analyzing and coordinating production schedules to ensure smooth and efficient manufacturing operations. This role involves forecasting demand, optimizing resource allocation, and collaborating across departments to meet production goals while minimizing costs and delays.</p><p>Responsibilities & Duties</p><ul><li>Analyze production specifications and plant capacity to determine optimal manufacturing processes.</li><li>Develop and maintain production schedules based on lead times, inventory levels, and customer demand.</li><li>Coordinate with procurement, logistics, and operations teams to ensure timely availability of materials.</li><li>Monitor production progress and adjust schedules to address bottlenecks or delays.</li><li>Prepare detailed reports on production performance, efficiency, and cost analysis.</li><li>Identify and resolve operational issues that could impact production timelines including sold versus actual hours and direct versus indirect time.</li><li>Forecast production costs and conduct cost-benefit analyses for proposed changes.</li><li>Ensure compliance with safety and quality standards throughout the production process.</li><li>All other duties assigned.</li></ul><p>Other Responsibilities</p><ul><li>To ensure Kelvion's Standard of Excellence, which includes quality, is incorporated into every product we produce.</li><li>Follow all company policies and procedures, including but not limited to Global Code of Business Principles, Code of Ethics and Business Conduct, Vision and Values, Operational Framework</li></ul><p>Requirements (Knowledge, Skills & Abilities)</p><ul><li>Strong analytical and problem-solving skills.</li><li>Proficiency in production planning software (e.g., SAP, Oracle, Excel).</li><li>Proficiency in Business Intelligence presentation platforms i.e. PowerBI</li><li>Excellent communication and collaboration abilities.</li><li>Experience in manufacturing or supply chain environments preferred.</li><li>Ability to manage multiple priorities in a fast-paced setting.</li></ul><p>Education and Experience (Required Levels)</p><ul><li>Bachelor's degree in Industrial Engineering, Supply Chain Management, Business Analytics, or related field.</li><li>2-3 years data analytics experience</li><li>2-3 years in a manufacturing, distribution, or logistics position</li></ul><p>Physical Requirements</p><p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>While performing the duties of this job, the employee is frequently required to stand; reach with hands, arms, and shoulders. The employee is occasionally required to walk; sit; climb or balance; stoop, kneel, crouch, or crawl; and talk and hear. The employee occasionally will be required hand lift and/or move objects up to 50 pounds.</p><p>Work Environment</p><p>The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services. Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
First Touch Attribution	SQL	Hard	Very High

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