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Prachikh
But we still dont have the number of students admitted or rejected?

Can someone please explain? How is the relationship enough calculate the new average?


Thanks!


Hi,

you dont require the exact number here as you have the ratio as we are working on average of two sets of items..


lets take a simple scenario..
10 % of a class has average of 90 marks and 90% has an average of 50 marks..
combined average = \(50+40*\frac{100-90}{100}=50+4=54\)

Now say the strength is 50.
so 10% that is 5 have 90 and remaining 45 have 50..
combined average = \(\frac{5*90+45*50}{50}=54\)
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Bunuel
At a particular business school which requires applicants to submit GMAT scores, the difference between the average GMAT score of admitted applicants in 2017 was 15 points higher than the average GMAT score of rejected applicants in 2017. What was the average GMAT score of all applicants in 2017?

(1) The average GMAT score of admitted applicants in 2017 was 700.

(2) The business school admitted 10% of those who applied in 2017.


Let Average admitted GMAT score=\(x_{avg}\), Average rejected GMAT score=\(y_{avg}\), \(n_1\)=no of applicants admitted, \(n_2\)=no of applicants rejected

Given, \(x_{avg}=y_{avg}+15\)
Question stem:- Average GMAT score of all applicants in 2017= \(\frac{n_1*x_{avg}+n_2*y_{avg}}{n_1+n_2}\) ?-----------(a)

St1:- \(x_{avg}=700\) so, \(y_{avg}=700-15=685\)

But , we have no information on no of students.
hence insufficient

St2:- Let 'n' be the total no of applicants in 2017.

Given, \(n_1\)=10% of n=0.1n, so \(n_2=n-n_1=n-0.1n=0.9n\)

We know only the ratio of \(n_1\) & \(n_2\), however, no information available on \(x_{avg}\) and \(y_{avg}\).

Hence insufficient.
(1)+(2),

from (a), we have, Average GMAT score of all applicants in 2017= \(\frac{700*0.1n+685*0.9n}{n}\)=70+616.5=686.5

Therefore, Answer is (C).
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