Harley1980
A certain auto repair shop services a particular make of car in the downtown region of a particular city. Three years ago, 4% of all repairs at this shop were not successful --- the mechanics were not able to restore the car to a drivable state. This year, only 2% of all repairs were not successful. Clearly, the mechanics training course, given over a year ago, has considerably increased the skill of mechanics at this particular shop, so that fewer cars are beyond their ability to repair.
All of the following statements, if true, weaken the argument, EXCEPT:
A) Three years ago, statewide smog regulations had the effect of removing the oldest and most unreliable vehicles from the road.
B) The manufacturer of this particular make of car recalled a few models due to defects that potentially jeopardized the engine.
C) More than half of the mechanics have been hired in the past nine months.
D) The total number of cars served per year by this shop has increased by 35% over the past three years.
E) A new shop uptown specializes in repairing cars of this make more than six years old, and most of these older cars are taken to this shop.
I would think the question as written is fine but I don't agree with the explanation.
3 yrs ago, 4% of all repairs were found to be unsuccessful.
So say today is 31st Dec 2021. So on 31st Dec 2018, we found that 4% repairs were unsuccessful in 2018.
This year, only 2% repairs were unsuccessful. So in 2021, only 2% were unsuccessful.
So the mechanics course given in Dec 2020 seems to have worked.
It increased the skill of mechanics at this particular shop, so that fewer cars are beyond their ability to repair (out of all the cars out there, not just the ones brought to them).
When I say that this Math course has improved my ability to solve problems such that fewer problems are beyond my reach now, it means of the total problems our there, fewer are out of my reach.
So perhaps out of every 100 problems I solved before, I couldn't solve 10 before and now out of every 100, I am unable to solve 5.
How many problems I was actually given to solve in the two cases is irrelevant (as long as both samples were indicative of population).
That is what I take away from the argument and if that is not what it meant, then I have no explanation for it.
A) Three years ago, statewide smog regulations had the effect of removing the oldest and most unreliable vehicles from the road.
So on 31st Dec 2018, regulations removed the worst cars. That could explain the lower number of 2% and the training may have nothing to do with it. Weakens the conclusion.
B) The manufacturer of this particular make of car recalled a few models due to defects that potentially jeopardized the engine.
Some defective vehicles were recalled. That could explain the lower number of 2% and the training may have nothing to do with it. Weakens the conclusion.
C) More than half of the mechanics have been hired in the past nine months.
The training happened a year ago but most mechanics are new. The reason for improved numbers may not be the training then. Weakens.
D) The total number of cars served per year by this shop has increased by 35% over the past three years.
Number of cars served per year has increased over the 3 yrs. It doesn't do anything to the conclusion. I would not say that it weakens the conclusion even if this number were 300%.
E) A new shop uptown specializes in repairing cars of this make more than six years old, and most of these older cars are taken to this shop.
Since older cars are taken to the new shop, it may be the reason for the decrease. Weakens the conclusion.
Answer (D)