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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

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?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

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If you’re as excited as we are about the power of data to transform businesses and build asuperlative user experience, we have a role for you! We are a team of tinkerers, builders, and dreamers working together toward the mission of making car ownership accessible, simple, anddelightful. In this role, you will work closely with the product managers, marketing and engineering teams, and other business stakeholders to help build and improve products for our customers.employees, or partners using insights from data. Job location: Sector 48, GurgaonWork from office: at least 3 days a week To apply for this role, you must have1. Experience in data mining skills such as SQL, Python, and Excel2. Exposure to website analytics tools like Google Analytics or Adobe Analytics and clickstream/hit-level data.3. Basic understanding of statistics such as hypothesis testing and frequentist/Bayesian statistics.4. You should be able to generate insights and hypotheses from data and use them to drive business outcomes.5. The ability to work collaboratively, build relationships, and communicate effectively with stakeholders is crucial for this role. Work experience and educational qualifications:1. A minimum of 1 year of relevant experience in the analytics field, including experience in hypothesis testing/statistics and product or digital analytics, is preferred.2. Having advanced analytics skills such as statistical models, machine learning, Markov chains, market basket analysis, etc. would be advantageous.3. The candidate must be able to grasp the business and product decision-making processes and provide analytics that align with business and product objectives.4. The educational qualifications required for this role include a bachelor's or master's degree in engineering or economics from Tier 1 or Tier 2 colleges. Technical and analytical capabilities:<ol><li>Ability to think critically and logically</li><li>Synthesize recommendations from data and communicate ideas succinctly</li></ol>

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