If a company sends out 100 emails to a user. These emails are opened at different hours of the day. During some of the hours, the user is more likely to open the mail.
I want to understand how many emails out of 100 must be opened in a particular hour to be able to say that the user responds effectively in that particular hour?
When I try to find the confidence interval with :
Population = 100
Sample size = 15 (average number of open a user has over 100 mails sent)
Confidence level = 95
Percentage = 50 (open/no open)
I get Confidence level(or margin of error) = 23.45
How do I interpret this ?