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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.

How would you assess the validity of the result?

Experiment Validity

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.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<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

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?

Uf Health Salaries by Position

Overview: Status: FULL-TIME FTE: 1.0 Shift Hours: 8:00AM-5:00PM Days of Week: MONDAY-FRIDAY This position, embedded within the UF Health Shands Quality and Patient Safety Department, integrates quality improvement efforts between the College of Medicine and UF Health Shands Hospital. With a direct reporting line to the UF Health Shands Hospital Manager of Quality Analytics, this unique role provides crucial data analytic support for quality improvement projects derived from the College of Medicine Quality and Patient Safety initiative. Key responsibilities include analyzing healthcare data using modern business intelligence and statistical tools to identify trends, patterns, and anomalies; querying clinical databases, creating reports, developing dynamic dashboards, and generating visualizations to translate data findings into actionable recommendations for enhancing patient care and organizational performance. The role involves distilling complex clinical information into comprehensible insights and providing education on data interpretation to ensure stakeholders can effectively utilize data for Working closely with physicians and data science teams, the position manages and analyzes data for assigned projects and communicates complex data and information to organizational leaders. Building and maintaining positive client relationships while utilizing industry and subject-matter best practices is crucial. The role also requires translating data into reports, necessitating a keen understanding of the healthcare business, operational processes, and the ability to perform complex analyses using data resources and technical tools. This position enables collaborative integration of healthcare quality improvement projects and patient safety outcomes, ensuring a cohesive approach to quality and patient safety across UF Health Shands and the College of Medicine. Qualifications: Minimum Education and Experience Requirements: <ul> <li>Bachelor's degree in STEM (science, technology, engineering, and math), healthcare administration, public health, nursing or a related field is required </li><li>Master's degree in healthcare analytics, healthcare administration, public health or related discipline is preferred </li><li>Two years of experience in healthcare data analysis is preferred </li><li>Strong analytical skills and mastery of advanced data analysis tools and techniques, such as SQL, Excel, Python, R, or other relevant software, is a prerequisite </li><li>Familiarity with healthcare information systems and electronic health records (EHRs) </li><li>Proficiency in Microsoft Office applications (Excel, Word, PowerPoint, Access </li><li>Exceptional communication and presentation abilities for conveying technical information to diverse audiences </li><li>Strong problem-solving abilities and the ability to work independently and collaboratively </li></ul> Licensure/Certification/Registration: None Motor Vehicle Operator Designation: Employees in this position will not operate vehicles for an assigned business purpose

Overview: The Clinical Data Analyst will be responsible for facilitating, identifying, and helping to design analytics support for Surgical Services. This includes tracking and documenting the governance of data requests specific to Surgical Services, owning and utilizing analytics tools specific to the Surgical Services enterprise. This individual will work collaboratively with multiple cross functional teams throughout the health system. Through strong partnerships and communication with interdisciplinary teams, this position leads and participates in planning, delivery and continuous evaluation of the process improvement plan to achieve best practice outcomes. The Clinical Data Analyst participates in meetings as directed by Perioperative Department Leadership and other projects assigned. Actively participates in outstanding customer service and accepts responsibility in maintaining relationships that are equally respectful to all. At UF Health Spanish Plaines Hospital, we are committed to providing the Central Florida community with leading-edge patient care, clinical training and research programs. Our teams of physicians and clinical staff work together to offer specialty services, advanced technology and clinical studies bringing world-class, quality health care closer to you and your loved ones. UF Health Spanish Plaines Hospital provides many medical services and amenities for our patients and their families and visitors.As part of the UF Health network, patients now get more more access, more services, more specialized care, improved experiences, faster treatment and as a result, everyone rises and moves forward together. Qualifications: <ul type="disc"><li>Education</li><ul type="disc"><li>BSN required</li><li>MSN or MHA/MBA required</li></ul><li>Licensure/Certification/Registration</li><ul type="disc"><li>RN</li><li>BLS, ACLS, PALS, CNOR, CAPA, CPAN, SGNA</li></ul><li>Special Skills/Qualifications/Additional Training/Experience Required</li><ul type="disc"><li>Two years recent perioperative clinical nursing experience</li><li>Two years of data analysis or systems in a hospital surgical setting</li><li>One year recent leadership experience in hospital setting</li><li>Must be able to read, write, speak and understand English</li><li>Must have Microsoft applications and data analysis techniques</li></ul></ul>

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