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655-705 (Hard)|   Non-Math Related|               
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Hi sajjad,
Could you post the OE for question 3, I am having trouble deducing how the a small subset of tasks would result in the average going up.
Below is my explanation for the first 2 questions.

1.
A. For at least one trainee, the posttraining score was greater than 3 times the pretraining score.

From the graph we can infer that for 2a, the pre-training score = ~5, and post-training score = ~ 65 (> 3 times the pre-training score)
Since, condition mentioned is for at least one trainee = > >= 1.
So, 1 is enough, but from the graph we can easily interpret that the post training scores for 2b, 2c, 2d, 2e, 2f, 2g, 2g is also greater than 3 times the pre-training scores of the respective trainees.

Answer is Yes.

B. The data for Session 1 exhibit a positive correlation between pretraining and posttraining scores.
yes, since the scores for both the sessions are increasing.

Answer is Yes.

C. For the three sessions, the range of pre-training scores is least for Session 2.
Range of Pre-training scores for session 1: 45-25 = ~ 20
For Session 2: 15-5 = ~10
For Session 3: 43-22 = ~21.
We can see, the range is lowest for session 2.

Answer Yes.


2. For each of the three training sessions, select Successful if, on the basis of the given information, it would be considered successful by PQ&R. Otherwise, select Unsuccessful.

Let's do it for Session 1:
The corresponding average pre-training score = (25+28+30+35+40+40+41+42)/8 = 45.12
=> average (arithmetic mean) post-training score for Session 1: (71 +72+ 77+ 78 + 80 + 80 + 81 + 81)/ 8 = 77.5 (clearly >50% of the average of the pre- training scores.)
=> Training for Session 1 was successful.

For session 2: The wide difference in scores, indicates that the average of the post-training scores is >50% of the average of the pre-training scores.
=> training for Session 2 was also successful.

For Session 3, also the wide difference in scores easily helps us identify the average diff., thus making the training for session 3 also successful.


Thanks.
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Can someone please explain the third table (trainees by session)
i do not understand the pre training score order and post training score order.
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Can someone please explain the third table (trainees by session)
i do not understand the pre training score order and post training score order.
­The graphs are exactly the same. It os more like sorting the table in present questions. The pre training score ordered is sorted from lower pre training score to higher pre-training score( check the top edge of the dark blue portion for each employee), and post training score ordered is sorted from lower post training score to higher post-training score( check the top edge of the light blue portion for each employee).
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For Q3,

E says - "On the job, the trainees are usually assigned only a small subset of the tasks included in the training battery."

Does this help explain why the employees scored higher in this small subset than in the overall training battery? No.

B - "The tasks that trainees performed most poorly during on-the-job observation are those that the trainees perform least frequently on the job."

This suggests that there is some correlation between infrequent performance and poor performance. Since tasks in the training battery, that are not part of the job, are not performed at all, this could indeed explain why the overall score for training battery was lower than the on-the-job scores.

Could avigutman , Bunuel , chetan2u comment on this please? Thanks.
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Question 1) "For each of the following statements about the scores in Session 1, Session 2, and Session 3, select Yes if the statement is supported by the information provided. Otherwise, select No."

It says "the scores in session 1, session 2, and session 3"

"For at least one trainee, the posttraining score was greater than 3 times the pretraining score." >> should I read it as at least one trainee in one session or in ALL 3 sessions?
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Question 1) "For each of the following statements about the scores in Session 1, Session 2, and Session 3, select Yes if the statement is supported by the information provided. Otherwise, select No."

It says "the scores in session 1, session 2, and session 3"

"For at least one trainee, the posttraining score was greater than 3 times the pretraining score." >> should I read it as at least one trainee in one session or in ALL 3 sessions?

Hi. You would look for 1 trainee that has improved in ANY session by 3x. So Session 1, 2 or 3 would satisfy that condition.
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PReciSioN
For Q3,

E says - "On the job, the trainees are usually assigned only a small subset of the tasks included in the training battery."

Does this help explain why the employees scored higher in this small subset than in the overall training battery? No.

B - "The tasks that trainees performed most poorly during on-the-job observation are those that the trainees perform least frequently on the job."

This suggests that there is some correlation between infrequent performance and poor performance. Since tasks in the training battery, that are not part of the job, are not performed at all, this could indeed explain why the overall score for training battery was lower than the on-the-job scores.

Could avigutman , Bunuel , chetan2u comment on this please? Thanks.

Hi. For Question 3, we are looking for why they scored 99.5 on the "on-the-job observation) and and lower on the battery. If the on-job observation included only a small sub-set of tasks as E says, then maybe they only did 5 things and did them really well on the job while the battery required them to do 10 or 15 tasks and some of them they were not good at, and thus got lower scores. I think you may have read this one backwards.

E is the correct answer. The battery tests a lot more than what they do on the job.

B is irrelevant. We know they got a score of 99.5 on the observation. This tells us nothing about the training battery. Who cares which tasks were scored lower or higher. What they got a 98 on some and 100 on others?
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Adding new sub - questions from DI review 2026-27
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FrozenDragon - can you help with the solution as well for it please
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The question can be best done with observation and comparison with sizes of colored column rather than with getting caught up with calculations.
None of the question really requires any calculations beyond simple subtraction.
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FrozenDragon - can you help with the solution as well for it please
Sure, below are the official explanations for the new questions.

Official Explanation :

4.

The "Trainee Report" tab explains how to interpret the graphs in the "Trainees by Session" tab. In these graphs, the height of the top of each bar's blue section stands for an individual trainee's post training score. In each bar in each graph, the top of the blue section is higher than the number 60 on the graph's vertical axis. This means each trainee achieved a posttraining score greater than 60.

As explained in the "Trainee Report" tab, the height of the top of each bar's black section in the graphs in the "Trainees by Session" tab stands for an individual trainee's pretraining score. Each graph in the top row of the "Trainees by Session" tab shows the scores for Session 1, each graph in the middle row shows the scores for Session 2, and each graph in the bottom row shows the scores for Session 3. Notice that the top of each bar's black section in the graphs for Session 2 is much lower than the top of any bar's black section in the graphs for Sessions 1 and 3. This means every individual pretraining score for Session 2 is lower than any individual pretraining score for Session 1 or Session 3. Thus, the average pretraining score for Session 2 is also lower than the average pretraining score for either of the other sessions.

As explained above, the graphs in the bottom row show the scores for Session 3, and the height of each blue bar stands for a trainee's posttraining score. And as the "Trainee Report" tab explains, the heights of the plus signs in each graph stand for the trainees' six-month scores. The graphs for Session 3 show that the posttraining scores ranged from about 80 for trainee 3d to about 95 for trainee 3h, while the six-month scores ranged from about 60 for trainee 3b to about 100 for trainees 3e and 3h. Thus, the range of posttraining scores is about 95 – 80 = 15, whereas the range of six-month scores is about 100 – 60 = 40. Since 40 > 15, in Session 3 the range of six-month scores is greater than the range of posttraining scores.

The correct answers are Yes, Yes, and Yes.


5.

In the graphs in the "Trainees by Session" tab, a trainee's post training score is greater than the pretraining score plus half the difference between 100 and the pretraining score if the blue section of the bar for that trainee extends up more than halfway between the top of that bar's black section and the number 100 at the top of the bar. This is true for every single bar in the graphs for each of the three sessions. Therefore, PQ&R would consider each of the three training sessions successful.

The correct answers are Successful, Successful, and Successful.

6.

In the graphs in the "Trainees by Session" tab, the heights of the blue bars' tops stand for the individual trainees' posttraining scores, and the heights of the plus signs stand for the trainees' six-month scores. All trainees in Session 1 are shown as having posttraining scores below 90. And the only three trainees with scores of at least 90 in Session 2—trainees 2h, 2c, and 2d—are all shown as having six-month scores lower than their posttraining scores. But in Session 3, trainee 3h is shown as having a posttraining score over 90 and an even higher six-month score.

The correct answer is 3h.
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For question 3 - Wouldn't Option B make sense as well. If the least performing tasks were not assessed frequently on the job it would lead to the scores being skewed higher to 99.5 in the on the job assessment ?
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For Question 3
Can someone explain why B is incorrect and E is clearly superior?
My thought process:

Observation score (99.5 average) is based on tasks performed on the job.
Session 3 battery tests all tasks.
In B, the tasks performed most poorly during observation are also the tasks performed least frequently on the job.
If those low-scoring tasks occur infrequently, wouldn't they contribute less to the observation average, while potentially receiving equal weight in the Session 3 battery? That seems like a plausible explanation for why observation scores are much higher than Session 3 scores.

I understand that E creates a subset-vs-whole distinction, but doesn't E also require the assumption that the tasks outside the subset are the ones dragging down the battery score?
What am I missing that makes E a better explanation than B?

Sajjad1994 bb, chetan2u, FrozenDragon
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For Question 3
Can someone explain why B is incorrect and E is clearly superior?
My thought process:

Observation score (99.5 average) is based on tasks performed on the job.
Session 3 battery tests all tasks.
In B, the tasks performed most poorly during observation are also the tasks performed least frequently on the job.
If those low-scoring tasks occur infrequently, wouldn't they contribute less to the observation average, while potentially receiving equal weight in the Session 3 battery? That seems like a plausible explanation for why observation scores are much higher than Session 3 scores.

I understand that E creates a subset-vs-whole distinction, but doesn't E also require the assumption that the tasks outside the subset are the ones dragging down the battery score?
What am I missing that makes E a better explanation than B?

Your reasoning for B depends on an extra assumption: that the observation average is weighted by how frequently each task was performed. The passage does not say that. The poorly performed tasks were still part of the observation, and being performed less frequently does not necessarily give them less weight in the reported average.

E is stronger because it directly shows that the observation covered only a small subset of the tasks, while the six-month battery covered the full set. Therefore, the 99.5 observation score was based on a limited, possibly unrepresentative subset of tasks. Since the full-battery score was lower, the other tasks must have reduced the overall score. That follows from the given results rather than being an additional assumption.
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Hi Usernamevisible,

You've actually spotted the trap and then talked yourself into it. Let me separate the two worlds the question is comparing.

From the Procedures tab, the training battery is the full, fixed set of tasks. The new fact scores something narrower: the 99.5 average is only for tasks performed during observation that were also in the battery - the overlap. The discrepancy is that this overlap average (99.5) sits well above the Session 1 six-month battery scores (~80-94 on the Trainees by Session graph).

Why B can't do the job.

Read B strictly: it compares tasks within the observation - the ones observed most poorly are the ones done least often on the job. But every task in that 99.5 average is already a battery task. B never introduces any task that's in the battery but not observed. So B gives you zero bridge to why the full battery score is lower. Your weighting idea also quietly assumes the battery weights those tasks more heavily - nothing supports that. In short, to make B "work," you have to import the idea that the battery contains extra, rarely-done tasks - and that idea is exactly what E states, not what B states.

Why E works - and isn't an extra assumption.

E says on the job trainees do only a small subset of the battery's tasks. Then the overlap they're observed on = the subset they practice constantly = near-perfect (99.5). The full battery adds the many tasks they seldom touch, which naturally score lower. Both facts are true at once - the discrepancy dissolves. That "unpracticed tasks score lower" step isn't a smuggled premise; it's the direct consequence of doing only a subset.

Quick stand-in to feel it:

- A cook observed at work only ever makes the 3 dishes ordered daily - scores 99.5 on those.
- A 15-dish test includes 12 dishes they almost never cook - overall score drops.

That's E. B would only say "among those 3, the worst is the least-ordered" - telling you nothing about the 15-dish test.

Answer: E

Usernamevisible
For Question 3
Can someone explain why B is incorrect and E is clearly superior?
My thought process:

Observation score (99.5 average) is based on tasks performed on the job.
Session 3 battery tests all tasks.
In B, the tasks performed most poorly during observation are also the tasks performed least frequently on the job.
If those low-scoring tasks occur infrequently, wouldn't they contribute less to the observation average, while potentially receiving equal weight in the Session 3 battery? That seems like a plausible explanation for why observation scores are much higher than Session 3 scores.

I understand that E creates a subset-vs-whole distinction, but doesn't E also require the assumption that the tasks outside the subset are the ones dragging down the battery score?
What am I missing that makes E a better explanation than B?

Sajjad1994 bb, chetan2u, FrozenDragon
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