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Test If Initial Video Uploads Are Shorter Than Later Ones

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's competency in hypothesis testing, statistical inference, and event-level data preparation for analyzing differences between users' initial and subsequent video uploads.

  • medium
  • LinkedIn
  • Analytics & Experimentation
  • Data Scientist

Test If Initial Video Uploads Are Shorter Than Later Ones

Company: LinkedIn

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario A video-sharing platform wants to know whether users’ first uploaded videos tend to be shorter than their later uploads. ##### Question Describe how you would test the hypothesis that users’ initial video posts are shorter. Define the data slice, metrics, statistical test, and provide high-level SQL or pseudo-code for the analysis. ##### Hints Compare first-video length vs. subsequent average per user; control for outliers and posting date distribution.

Quick Answer: This question evaluates a candidate's competency in hypothesis testing, statistical inference, and event-level data preparation for analyzing differences between users' initial and subsequent video uploads.

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LinkedIn logo
LinkedIn
Jul 12, 2025, 6:59 PM
Data Scientist
Technical Screen
Analytics & Experimentation
25
0

Hypothesis Test: Are Users’ First Video Uploads Shorter?

Context

You are given event-level data for a video-sharing product. Each record represents a published video with its duration and uploader. We want to determine whether a user's first uploaded video tends to be shorter than their subsequent uploads.

Assume you have a table like:

  • video_uploads(user_id, video_id, upload_ts, duration_sec, status, visibility, category, source)

Task

Describe how you would test the hypothesis that users’ initial video posts are shorter than their later uploads.

Specify:

  1. Data slice (inclusion/exclusion criteria)
  2. Metrics and aggregation
  3. Statistical test(s) and assumptions
  4. High-level SQL or pseudo-code to implement the analysis

Hints:

  • Compare first-video length vs. subsequent average per user.
  • Control for outliers and posting-date distribution (e.g., cohort effects or time trends).

Solution

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