Exercise

# 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.

Instructions

**100 XP**

- 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.