From the course: The Data Science of Experimental Design
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Baseline results as a guide
From the course: The Data Science of Experimental Design
Baseline results as a guide
- [Instructor] Now that we've gone over, our baseline results, I'm going to show you how to use them as a guide for designing the other condition in your experiment. Continuing with our example scenario of the Click to Tweet conversion, on the completion page of an online management learning module, we are going to focus on WOM3 rate in our experiment because we want to use page views as the denominator and the number of times the tweet was sent from the Click to Tweet control on the page as the numerator. We already made this numerator/denominator decision which was hard. Now we have a new hard decision, what strategy do we think will work to increase this rate? Actually, I first want to point out what logically will not work and that is making the number go up proportionally. So say I do some sort of campaign which makes more users land on that page thus increasing my denominator. If they continue to click the Click…
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