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705-805 (Hard)|   Tables|                  
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parkhydel
During a recent semester at University X, 25 students enrolled in an economics class. Each student was enrolled in the university’s 4-year business program and took the course either as a traditional student (attending class and sitting for exams in person) or as an online student (listening to lectures and taking exams via computer), but not both. For each student, the table indicates whether he or she took the course online, along with his or her year in the program and scores on Exam 1, Exam 2, and the final exam. The final score was computed as a weighted mean of the scores on Exam 1, Exam 2, and the final exam, using the same weights for each student.
Student surnameOnline
student?
(Y/N)
Year
in
program
Exam 1
score
Exam 2
score
Final
exam
score
Final
score
AbusubaY289878586.5
ArdaninN185838484
Bar-YaacovY165706867.75
BensonY177807576.75
DedeogluN290969594
DerezinskiY385848183.25
GarciaY290878687.25
HernandezN272747574
JeyaretnamY277767877.25
LindtY387818182.75
MladekN464757672.75
NguyenN370747272
OrlandoN281848081.5
PaiN275787274.25
ParasarathyN288919592.25
RadzinskyY3919510096.5
RussellN451697266
SweetsN266767472.5
SykesN351697366.5
TachauN291939292
TsosieN284878585.25
UnderhillN177757173.5
VladimirovY369757473
WashburnN285838283
ZervosN295979897

For each of the following statements, select Yes if the statement is true based on the information provided; otherwise, select No.

ID: 100395
­
I may have the quick way of checking for the first sub-question.

Know that if two terms remain constant, and the third term changes, then the mean’s change would be that term’s change times its weight.

Ex: With 50, 51, 52, the average is 51. Assume that for the 52 term, its weight is 40%. If 52 increases to 53, then average changes to 51 + (53-52) * 40% = 51.4

Now, with this in mind, a clever trick that we can use here is to sort by the Exam 1 score!
Then, look for cases where either only the second term (Exam 2 score) changes or the third term (Final exam score) changes.

Look at Russell and Skyes:

Russel: 51, 69, 72 -> Final: 66
Sykes: 51, 69, 73 -> Final: 66.5

So, when the Final Exam Score moves up by 1, the Final Score moves up by 0.5
Therefore, the Final Exam Score's weight is: 0.5/1 = 0.5

We also know that all 3 scores both contribute to the Final Score in some way. Therefore, each of their percentages is non-zero.
Given this, if the Final Exam Score's weight is 0.5, then the Exam 2 Score's weight has to definitely be lower than 0.5

=> The Final Exam Score's weight and the Exam 2 Score's weight are definitely not equal!

This all looks like a lot, but if you understand the nature of weighted averages, then this line of thinking becomes easier to conjure up.
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avigutman you said - The only way I could think of to verify whether the last two exams were equally weighted was to search for a student whose first score was at exactly the midpoint between the 2nd and final scores. If I can find a student like that, then I'll know for sure whether or not those last two scores are equally weighted. For such a student, the overall average will match the first score if and only if the last two scores are equally weighted.

What if the weight assigned to the E1 is significantly different than weight assigned to the E2 and final (even if they are same), doesn't that mean in this the final average will still be different.
avigutman


You're right, jabhatta2, your reasoning doesn't actually answer the question that was asked. I suspect that you didn't focus your reasoning on the task at hand, but rather tried to make random observations and inferences about the data and see if any of those are helpful.

The only way I could think of to verify whether the last two exams were equally weighted was to search for a student whose first score was at exactly the midpoint between the 2nd and final scores. If I can find a student like that, then I'll know for sure whether or not those last two scores are equally weighted. For such a student, the overall average will match the first score if and only if the last two scores are equally weighted.

Jeyaretnam was such a student, and the overall average doesn't match the first score, so I conclude that the answer is NO.

Edited to add: I just thought of another way to do this: find a student whose 1st score matches his overall average, and check whether the 2nd and 3rd scores are equidistant from the overall average. They'll be equidistant if and only if they're equally weighted. Unfortunately, such a student doesn't exist in the data, so this method isn't useful in this particular problem.
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Great solution...Just adding a bit

Step 1 — Scan only two columns
Ignore everything else.
Look at
Exam-2 vs Final
Find:
  • one student where Exam-2 ≫ Final
  • one student where Final ≫ Exam-2
These give maximum diagnostic power.


From the table
Look at biggest gaps:
StudentE2FinalGap
Radzinsky95100+5
Parasarathy9195+4
Dedeoglu9695−1
Abusuba8785−2
Ardanin8384+1
Russell6972+3
So your best diagnostic picks are:
  • Radzinsky (Final much higher)
  • Abusuba / Russell (Exam-2 higher)
GMAT wants you to pick rows where those two columns disagree most.


Why below pair worked

You used:
  • Abusuba (E2 > Final)
  • Ardanin (Final > E2)
They pull in opposite directions, so inconsistent weighting shows up immediately.
If you had picked two “balanced” rows, you might miss it.
KarishmaB




The score on the final exam had equal weight with the score on Exam 2 in computing the final score

If this were true:
Abusuda: 89, 87, 85 WAvg = 86.5
Avg of Exam 2 and Final exam would be 86.
Avg of 86 and 89 is 86.5 which means weights given are 5:1

Ardanin: 85, 83, 84 WAvg = 84
Avg of Exam 2 and Final exam would be 83.5.
Avg of 83.5 and 85 is 84 which means weights given are 2:1

Since the weights are not consistent, this is not true.

Select No

You should observe here that Exams 1 and 2 are likely to have equal weights and Final Exam is likely to have more weight. A quick check of a few values shows that this is true. The weights of the 3 are in the ratio 1:1:2. I did not do the calculations shown above to solve the question. I focused on observing the first few values because that made sense. GMAT normally wouldn't use un-intuitive logic.


The median final score for all 25 students was 81.50.

Sort the table using final score and count to the 13th value.

Select Yes


For Exam 1 scores for students in year 3 of the program, the range was 40.


Sort the table using the Year column. Lowest value is 51 and highest is 91. Range = 40

Select Yes
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Its lucky IMO that the very first record if you take the weight of 2 and final as 2 each and give 1 to exam 1 you get the weighted mean as 86.6 NOT EQUAL to 86.5 and we can already mark the option as "No" and move on.
parkhydel
During a recent semester at University X, 25 students enrolled in an economics class. Each student was enrolled in the university’s 4-year business program and took the course either as a traditional student (attending class and sitting for exams in person) or as an online student (listening to lectures and taking exams via computer), but not both. For each student, the table indicates whether he or she took the course online, along with his or her year in the program and scores on Exam 1, Exam 2, and the final exam. The final score was computed as a weighted mean of the scores on Exam 1, Exam 2, and the final exam, using the same weights for each student.
Student surnameOnline
student?
(Y/N)
Year
in
program
Exam 1
score
Exam 2
score
Final
exam
score
Final
score
AbusubaY289878586.5
ArdaninN185838484
Bar-YaacovY165706867.75
BensonY177807576.75
DedeogluN290969594
DerezinskiY385848183.25
GarciaY290878687.25
HernandezN272747574
JeyaretnamY277767877.25
LindtY387818182.75
MladekN464757672.75
NguyenN370747272
OrlandoN281848081.5
PaiN275787274.25
ParasarathyN288919592.25
RadzinskyY3919510096.5
RussellN451697266
SweetsN266767472.5
SykesN351697366.5
TachauN291939292
TsosieN284878585.25
UnderhillN177757173.5
VladimirovY369757473
WashburnN285838283
ZervosN295979897

For each of the following statements, select Yes if the statement is true based on the information provided; otherwise, select No.

ID: 100395
­
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