by noah Mon Sep 14, 2009 3:30 pm
Generally, approach assumption questions (and all other types) by reading like a debater: see if you can notice any gaps in the argument.
To summarize this argument: the conclusion is that the number of salespeople who are not receiving an award has declined over the last 15 years. Why? Because the number of salespeople receiving it has decreased and the criterion that is now used is to simply bestow the award on the top third of the sales force.
With this argument, there is a fishy jump in time: the data is from over the last 15 years but the president mentions only the present award criterion. What if the criterion mentioned has been used only for the past year and it used to be that the top half of the sales force would receive the award? Let's work it out to see if we can disprove the company president's conclusion: if there were 100 salespeople 15 years ago, and half won the award, then that would be 50 receiving, 50 not. If the sales force increases to 120 and this year the top third won an award, only 40 people would win it. The number of winners decreases but the number of non-winners would increase.
So, if the criteria changes, we cannot be sure if the president's argument is valid. (C) is an assumption that would allow the president to draw the conclusion she did as it establishes that the criterion remained stable. If it's always been that only a third receives the prize, if that amount drops then it must be that the total number of employees has dropped, and the two-thirds not receiving would also decrease.
(A) is out of scope -- we're not interested in hiring.
(B) would disrupt the president's line of reasoning, as we saw above
(D) is out of scope
(E) is tempting, but regardless of how the sales figures are calculated, there will still be a third (or half) who receive the award. We're not interested in who receives the award but in how many do.
Does that clear it up?