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Differences, and Examples Correlation vs Causation ...

2/11/2019 Correlation vs Causation : Definition, Differences, & Examples | vs Causation : Definition,Differences, and ExamplesLionel ValdellonJuly 24, 2018As mobile marketers, we make decisions every day based on data. These decisions leadusers to keep using our apps or uninstall them. Which is why we have to think clearly whenfacing data and watch out when seeing possible Correlation vs Causation s been a steady move in the past decade for organizations to favor data-drivendecisions. It s the thinking that, without evidence, there s no real basis for a decision. Thismakes it even more critical to use statistics as a tool that gives insight into the relationshipsbetween factors in a given analysis.

Positive correlation is when you observe A increasing and B increases as well. Or if A decreases, B correspondingly decreases. Example: the more purchases made in your app, the more time is spent using your app. Negative correlation is when an increase in A leads to a decrease in B or vice versa.

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