Here is what I found. Kudos to the people at Polaris Marketing Research

[zihadhasan019]

So here's what I did...anybody with a more firm grasp of statistics, please feel free to point out flaws or possible improvements in my simple method... Problem: Anecdotally, Internet Explorer users seemed to be having problems. Were their problems significantly altering how they interacted with my site? What I Did: 1) First I downloaded Pages/Visit data for each day of my sites existence for Internet Explorer and for Firefox 2) I graphed these daily Pages/Visit datapoints Not much help right? Sure it looks like the Firefox line is higher, but is it significantly so? Is it a real problem? 3) I decided to find a statistical analysis tool for significance between two means.


I calculated the mean, standard deviation and france email list total sample count for both data sets in excel 5) Plugged them into the tool And boom: The difference in average Pages/Visit by browser was stastitically significant! Time to get on our front end developer to start making our site more IE friendly. Of course, most people who have ever created a website with many pages will know that Internet Explorer compatibility is always going to be an issue.





But in this case, it was confirmed to me that the problem was significantly affecting the performance of visitors on my site, and it gave an even more compelling reason to get changes done immediately. This sort of analysis can, and should, be done for all sorts of data points gathered from Analytics. This past week saw the launch of Google's real-time search and quite frankly everyone flipped out. And justifiably so, it's not often that our SERPs get torn up so much in a new way like this.