From the course: The Data Science of Experimental Design
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Document denominators
From the course: The Data Science of Experimental Design
Document denominators
- [Instructor] Now, let's return to our example scenario, and document the denominators we are going to use on our conversion rates in our experiment. In an earlier video, we talked about our scenario. We developed three conversions we wanted to track. The customer paying, the customer downloading material, and the customer tweeting out, a canned marketing word-of-mouth tweet on our web page. We operationalized and documented those conversions, which are our numerators, and we were comfortable counting those. But, remember, the reason why I'm calling the conversion a numerator is because we are trying to make a conversion rate, which means we need a denominator. And, as I showed you in the previous videos with the GoPro example, what you choose as your denominator can really impact not only the magnitude of your rate, but how accurate it is. So, this is why it's tempting to choose more than one denominator, so you just make…
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Contents
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Identify and prioritize conversions5m 20s
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(Locked)
Operationalize counting conversions4m 33s
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(Locked)
Document conversion case definitions4m 51s
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(Locked)
Brainstorm denominators7m 2s
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(Locked)
False positives and negatives5m 58s
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(Locked)
Document denominators5m 56s
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(Locked)
Determine time frames5m 50s
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