Determine Key Statistics for Article Comment Distribution Analysis

Q: Determine Key Statistics for Article Comment Distribution Analysis

This question evaluates statistical data-analysis competencies such as descriptive and robust summary statistics, outlier detection, handling of zero-inflated and heavy-tailed count data, and selection of appropriate hypothesis tests in the domain of Statistics & Math for a Data Scientist role.

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Question

Analyzing Comment Counts per Article

Context

You are analyzing the number of comments each article receives on a content website. You have the full distribution of comment counts across articles. Comment counts are non‑negative integers and may be zero‑inflated and heavy‑tailed.

Questions

Which summary statistics would you compute and why?
When might the mean be misleading compared with the median?
How would you detect and treat outliers in the comment counts?
If product managers want to know whether a recent UI change increased engagement, which statistical test would you choose and why?

Determine Key Statistics for Article Comment Distribution Analysis

Analyzing Comment Counts per Article

Context

Questions

Solution

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