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


<p>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?</p>

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

<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

G2O Salaries by Position

<h3><b>Your future starts here</b></h3>
<p>Imagine being part of a team that helps clients build better relationships with customers. When you join us, you'll help top-notch clients to execute the digital strategies of the future. Every day, we collaborate with clients and each other to provide technology expertise, human-centered design and industry experience to deliver real business results.</p>
<h3>Position Description:</h3>
<p>In this role, you will be responsible for managing the end-to-end data platform development process, including data ingestion, processing, storage, and analysis. This role requires a strong technical background in data platform architecture, cloud computing, and big data technologies. This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin. Must be able to think big picture, about the entire data landscape as the project executes across various data and analytics platform.</p>
<h3>Role Requirements/Qualifications:</h3>
<ul>
<li>Design, build and configure a highly scalable and robust data platform on Azure and Databricks.</li>
<li>Capable of seamless integration & extensibility of existing cloud services to any new program/project initiative.</li>
<li>Develop and implement data ingestion and processing pipelines using Azure services such as Azure Data Factory, Azure Stream Analytics, and Databricks.</li>
<li>Automate and manage provisioning needs, such as Databricks Cluster Policies, Unity Catalog, Secrets Management, Role Based Access Control model and permissions.</li>
<li>Configure and manage monitoring/alerting around latency performance on the Databricks platform including Delta Live Tables and Databricks Workflows.</li>
<li>Integration experience with modern cloud platforms.</li>
<li>Familiarity with Databricks, Delta Live Tables (DLT), Data Build Tool (DLT), Python, SQL, T-SQL, Spark SQL Queries, Azure Cloud, Azure Data Factory, Delta Lakehouse, SQL Server, Star Schema, Structured/Semi-Structured/Unstructured, OLTP, OLAP, HTAP, ODS, Data Hub.</li>
</ul>
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