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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.

What factors could have biased this result, and what would you look into?

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

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

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?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

<h3>Job Description</h3><div>Job Description<div>Description:Job Description: Join our team of talented engineers in the Annapolis Junction area supporting critical national security programs. As an analytic software engineer, you’ll work closely with mission SMEs to develop niche analytics for the Intelligence Community. These may be batch analytics that operate over large volumes of data at-rest, or they may be streaming analytics that operate over smaller volumes of data in-motion. When operational, your analytics will support Phoenix’s core mission of “Arming the Analyst”. This position will support multiple programs and is open to Mid-Level (5-10 years of experience) candidates. A typical day includes engineering activities across a mid-sized team, exploring mission data sets, working with mission SMEs to understand tradecraft, and developing analytics to support that tradecraft. All development will be conducted within an Agile process using standard Scrum practices (daily stands-ups, sprint planning, sprint demos/retrospectives). *** Top Secret SCI Clearance with appropriate Polygraph Required *** Technical Skills Required<ul><li>5+ years of experience in Java software development</li><li>4+ years of experience with distributed technologies such as Hadoop, Spark and Kafka</li><li>4+ years of experience implementing RESTful web services</li><li>4+ years of experience processing XML and JSON data formats</li><li>4+ years of experience using Git, JUnit, Maven and Jenkins</li><li>4+years of experience developing software in a Linux environment</li><li>4+ years of experience supporting Defense or Intelligence programs</li></ul>Technical Skill Preferred<ul><li>Experience developing analytics with MapReduce, Spark or similar technologies</li><li>Experience with distributed databases such as Accumulo or HBase</li><li>Experience working in an Agile environment using Jira and Confluence</li><li>Basic understanding of Python or Scala</li><li>Basic Machine Learning algorithms & techniques</li></ul>Benefits Offered: Medical, Dental, Vision Insurance - 100% Company Paid Premiums STD, LTD, and Life Insurance - 100% Company paid 401K – Automatic 10% company contribution; no matching required PTO - 4 weeks/year Holidays - 11 paid/year Birthdays off with pay Referral Bonuses – Upfront AND Annually Recurring Open Source Bonuses – Contribute to our Github projects Professional Development – Paid training, Certifications, and Enrichment ABOUT PHOENIX OPERATIONS GROUP: Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives. Please visit us at http://www.phoenix-opsgroup.com for more information. Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs. Requirements: </div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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