I'd love to better understand if the approach i'm taking to find out our sample size for a/b testing is correct. Any insights are much appreciated!
I've plugged in the following numbers in sample size calculator:
Confidence level = 95%
Confidence Interval = 5
Population = 17K
Sample size = 376
I then divided 376/ 17, 000 = 22%
I doubled that number to make up my sample size, which equals 44%.
So, my test group was 44% and then the winner to 56%