Hi A few months ago I was asking some SQL tuning question and someone sggested me Dan Tow's SQL Tuning book release by Oreilly. So I bought the book a few weeks ago and just started to reading it. I am a bit puzzled about the formula in page 30, calculating the filter selectivity for a query which searchs for last_name: select .... from customers where last_name = 'SMITH' And he suggested this formula to obtain the selectivity, sum of (n(i)/C') x (n(i)/C) where n(i) is the count of rows wiyj ith nonnull last name (I understand as count of all last_name) and C is count of all rows and C' is count of all nonnull last name which turns out to be following SQL statement (which I dont understand) SELECT SUM(COUNT(Last_Name)*COUNT(Last_Name)) / (SUM(COUNT(Last_Name))*SUM(COUNT(*))) FROM Customers GROUP BY Last_Name; To start with the formula is not exactly as described, there are are 3 SUM() instead of one. To better my understanding I did a test with more familiar table which is scott.emp table with following query: select sum(count(mgr)*count(mgr)) / (sum(count(mgr))*sum(count(*))) from emp group by mgr SUM(COUNT(MGR)*COUNT(MGR))/(SUM(COUNT(MGR))*SUM(COUNT(*))) ---------------------------------------------------------- .225274725 So I got a selectivity of roughly 0.225. Does not sound right to me because there are 6 managers and 13 employees (14 but one has no manager) My question is really, does anyone understand this formula and actually use it? If so please throw some lights :-))) Thank you all Alex