First, I am not a statistician (though I'd like be one) but I am trying to understand how different tests can be utilized to examine samples.
Let's say that I have five of Google AdWords ads and I'm trying to develop a test to show which has been more effective at getting users to click on that ad.
January February Ad A - 850 5000 Ad B - 900 5300 Ad C - 880 5100 Ad D - 880 5100 Ad E - 800 5000
In terms of frequency, Ad B has the highest amount of user click throughs in both January and February. (Is it fine just to say that one has a higher freqency and is therefore the more effective ad without relying on any significance test)
However, for each month, I want to use a statistical test to determine which ad was more effective. Initially, I assumed a chi-square (pearsons) test would be appropriate, but with five seperate ads, I'm not sure if that's the appropriate plan of action.
Can anyone help me understand what action to take and why, or is it enough just to rely on the frequency distribution of the five ads.