How would you visually represent statistical uncertainty in a chart?
This tests your ability to accurately communicate statistical significance. A great answer discusses error bars (with 95% CIs), then more advanced options like gradient or violin plots, and frames the choice by audience.
This tests your data literacy and ability to communicate statistical significance beyond simple bar charts. A strong answer outlines a tiered approach: start with error bars representing 95% confidence intervals, then discuss more expressive methods like gradient plots or violin plots to show the full distribution. Mentioning hypothetical outcome plots (HOPs) for non-technical audiences is a plus. The key is to frame the choice in terms of the audience and the specific decision being made.
Read the original → clauswilke.com
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- #a/b testing
- #data visualization
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