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How to Evaluate A/B Tests (aka Controlled Experiments) for Causation and Correlation

In the previous blog post, we looked at the terms causation and correlation and developed a deeper understanding of what exactly each of those terms means and what the difference between causation and correlation is. In this post, we’re going to continue from where we left off last time and dive into how we can approach different types of datasets and go about analyzing them correctly. More specifically, in the next two blog posts, we’re

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