Re-run power analysis for follow-up

Let's rerun our power analysis for our new experiment now taking into consideration the time of year we're running our new experiment: September. To figure out our baseline assumptions, we'll give you some introductory information: 1) the conversion rate for the "no hat" condition in 2017 was 30% (or 0.3), and 2) the average difference between the "no hat" condition and the "cat hat" condition is 19% (0.19). Use this information to run an updated power analysis.

Fill in the value for p1 (our expected conversion rate for "cat hat" condition in September). Do this by summing the conversion rate for "no hat" condition (0.3), and the difference between the conditions (0.19).
Fill in the value for p2 (our expected conversion rate for "kitten hat" condition in September) assuming an increase of 15 percentage points (0.15).
Fill in the parameter names of other values. Remember you can always do help(SSizeLogisticBin) if you've forgotten.

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Exercise

Re-run power analysis for follow-up

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