Google is constantly running tests to evaluate new search algorithms. For example, Google might test three algorithms using a sample of 10,000 google.com search queries. The table below shows an example of 10,000 queries split into three algorithm groups. The group sizes were specified before the start of the study to be 5000 for the current algorithm and 2500 for each test algorithm. Each search is randomly assigned an algorithm. It is then determine whether the user clicked one of the links provided and did not try a new search, or if the user performed a related search. Under the first scenario, we might think that the user was satisfied with the search results. If the user performed a new search then the search results probably were not relevant, so the user tried a second search.
|
|
Current
|
Test 1
|
Test 2
|
Total
|
|
No New Search
|
3511
|
1749
|
1818
|
7078
|
|
New Search
|
1489
|
751
|
682
|
2922
|
|
Total
|
5000
|
2500
|
2500
|
10000
|
What percent of the searches that used the current algorithm resulted in a new search by the user?
Make sure you show your work.