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Posted inData Science Growth Marketing Statistics

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.…
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Posted inData Science Growth Marketing Statistics

How to Determine Causal Relationships in Observational Studies

In the previous blog post, we looked at controlled experiments and saw what techniques we can use to properly analyze them. Unfortunately though, we don’t always have the option to use a controlled…
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Posted inData Science Growth Marketing Statistics

Correlation vs. Causation: What’s the Difference? (+ Examples!)

A Super Short Summary Before we begin the blog post officially… I know some of you just want the quick, no fuss, one-sentence answer. So if you’re here for the…
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Recent Posts

  • What are Bar Graphs? & How to Use Them
  • How to Evaluate A/B Tests (aka Controlled Experiments) for Causation and Correlation
  • How to Determine Causal Relationships in Observational Studies
  • What are Histograms? & How to Make Them in Python
  • What are Box Plots? & How to Make Them in Python
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