00:02
We'd like to determine if the new landing page achieves an increase in revenue per site.
00:09
We need to define our null hypothesis, which is mu new minus mu old, is less than or equal to 200.
00:21
Now, our alternative hypothesis is that the new landing page increases the revenue per site by more than $200.
00:29
So then mu new minus mu old is greater than $200.
00:37
So then you'd want to collect your data of the visitors that interact with your landing page and your new landing page.
00:45
So you need to find your mean revenue per site.
00:49
So x bar old, x bar new.
00:54
You need your standard deviation.
00:57
So s old and s new.
01:02
And then you need your sample size, which would be n old and n new.
01:08
You need to then perform a statistical test.
01:15
So, for example, let's just do an example here, where you need to first find your pooled standard deviation, which is the square roots of n -new minus 1 squared, or times s -new squared, plus n -old minus 1 times s -new squared, divided by n new plus an old minus 2...