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KarishmaB
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Doesn't A weaken the argument and hence to be rejected.

A. Different time periods during a given day are "no more likely" to have higher sales figures than other time periods.
Different time will not have higher sales, so tracking at 12:00 pm and tracking at 1:00pm is no more likely to have higher sales figure.

The question says it allows tracking at different time period. and hence option A should be rejected upfront

Actually, option (A) doesn't impact our argument.

This is what the argument says:
Because we can now track which associates sell the highest volume within each time period, we will now know which of our salespeople are most effective at their jobs.

So we can now get a list which looks like this:

Between 12 noon to 1 pm: Total 100 units sold
A sold 20 units
B sold 15 units
C sold 65 units
(C sold max units in this hour)

Between 1 pm to 2 pm: Total 60 units sold
A sold 10 units
B sold 25 units
C sold 25 units
(B and C sold most units in this hour)

etc.

So the system allows the company to track who is selling how much every hour. Conclusion is that we can find the most effective salesperson using this data.

Option (A) tells us that sales are likely to be the same every hour i.e. sales are likely to be say, 100 units every hour. It doesn't matter to our argument at all, right? We will get to know exactly what the sales are every hour (even if they all are likely to be 100, there might be some variation in reality) and we will get to know who is selling how much. That will help us find the most effective salesperson.
So option (A) has no impact on our argument.


I am unable to frame a proper sentence to let you know the way you have explained this is awesome. Can't imagine a better explanation than this
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I am not convinced with the option D. In option D, let's say there are other factors too that impact the effectiveness of a sales person but still it's possible that by measuring sales volume we can find out who's the best salesman.

Also in A, if a given period has high volumes then we won't be able to measure the effectiveness. Le's say from 5-6 we have 100 sales and from 1 to 2 we have only 2 sales then how can we validate the conclusion. I think A as an assumption is required for this conclusion.
Please share your insight.

Thanks
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