- Sat Jan 21, 2012 12:00 am
#47390
Setup and Rule Diagram Explanation
This is an Advanced Linear: Unbalanced: Overloaded, Numerical Distribution game.
This is arguably the toughest game on this test. The game scenario specifies that five talks—F, G, H, I, and L—are held in successive order. Thus, these five talks should be the base of the game. Four employees each then attend two of the talks, leading to the following Linear setup:
With each employee attending two talks, there are eight variables to be placed (which are represented by doubling Q, R, S, and T in the variable list). These eight variables must be placed into the five talks, with the stipulation that no talk can be attended by more than two employees. Thus, we have the classic elements for a Numerical Distribution:
Using this information, two employees-to-talks distributions are possible:
2-2-2-2-0
and
2-2-2-1-1
In the 2-2-2-2-0 distribution, four of the talks are attended by two employees each, and one talk is not attended by any employee.
In the 2-2-2-1-1 distribution, three of the talks are attended by two employees each, and two talks are attended by exactly one employee each.
The drawback to these distributions is that our Linear scenario is somewhat fluid; that is, a talk can have 0, 1, or 2 attendees depending on the distribution, but there is no way to fix the number of attendees for each talk at this point. Let’s examine the rules and hope there is some information that fixes some of the attendees or talks.
The first rule establishes Not Laws for Q on F and H:
Accordingly, Q must attend two of G, I, and L.
The second rule establishes two more Not Laws, this time for R on G and H:
Note that H is particularly restricted at this point, with only S or T as possible attendees. This is not shown as a dual-option because H can have zero attendees. Interestingly (and likely not coincidentally), the next rule establishes that S and T do not attend the same talk:
This is an intriguing rule, because with only five available talks (depending on the distribution), the placement of either S or T has a significant impact on the other variable. For example, in the 2-2-2-2-0 distribution, if you know which two talks S attends, you then know T must attend the other two talks that have attendees.
However, this rule is most interesting when considered in reference to H. Because only S and T can attend H, and S and T cannot both attend the same talk, we can determine that H either has no attendees or that H has exactly one attendee (S or T). That’s a particularly useful inference, because H can be used to determine the proper distribution:
The fourth rule can be combined with the first rule to produce a useful inference: T cannot attend F. Because Q cannot attend F, if T were to attend F there is no way to satisfy the fourth rule. Thus, T cannot attend F, which can be shown as a T Not Law on F:
While this is the first inference that follows from these two rules, there are two other powerful inferences that follow from combining these rules with other rules. The two most restricted talks are F and H. H was already discussed above, so the next logical point of examination is F.
As established in the discussion of the distributions above, F (and G, I, and L) must always have at least one attendee. Because Q and T cannot attend F, only R and S are available to attend S. But, when the final rule is considered, a powerful inference results: S must always attend F. Here’s why: if R attends F, then from the final rule S must also attend F. But, if R does not attend F, then only S remains to attend F, and because F must always have at least one attendee, S must then attend F. In either case, S attends F, and we can add that to our diagram:
With F and H both discussed, G is the only remaining restricted talk that has not yet been examined. Interestingly, the inference involving G is even trickier than the inference involving F.
Because R cannot attend G, only Q, S and T are available to attend G. Of course, from the third rule, S and T cannot attend the same talk, so there are only three options for employees to attend G:
There is also a case to be made for creating two templates (one for each distribution), but the information in the final diagram is sufficient to attack the questions, especially if you get the inferences that H is the only talk that can have no attendees, and that S attends F, and Q attends G (and regrettably, these are all tough inferences, and it is very hard to get any one of them, let alone all three).
Overall, this is not a fun game. The three key inferences are each difficult to draw, and without them the game is exceptionally difficult. When combined with the second game, the two games form one of the toughest game tandems in LSAT history.
This is an Advanced Linear: Unbalanced: Overloaded, Numerical Distribution game.
This is arguably the toughest game on this test. The game scenario specifies that five talks—F, G, H, I, and L—are held in successive order. Thus, these five talks should be the base of the game. Four employees each then attend two of the talks, leading to the following Linear setup:
With each employee attending two talks, there are eight variables to be placed (which are represented by doubling Q, R, S, and T in the variable list). These eight variables must be placed into the five talks, with the stipulation that no talk can be attended by more than two employees. Thus, we have the classic elements for a Numerical Distribution:
Using this information, two employees-to-talks distributions are possible:
2-2-2-2-0
and
2-2-2-1-1
In the 2-2-2-2-0 distribution, four of the talks are attended by two employees each, and one talk is not attended by any employee.
In the 2-2-2-1-1 distribution, three of the talks are attended by two employees each, and two talks are attended by exactly one employee each.
The drawback to these distributions is that our Linear scenario is somewhat fluid; that is, a talk can have 0, 1, or 2 attendees depending on the distribution, but there is no way to fix the number of attendees for each talk at this point. Let’s examine the rules and hope there is some information that fixes some of the attendees or talks.
The first rule establishes Not Laws for Q on F and H:
Accordingly, Q must attend two of G, I, and L.
The second rule establishes two more Not Laws, this time for R on G and H:
Note that H is particularly restricted at this point, with only S or T as possible attendees. This is not shown as a dual-option because H can have zero attendees. Interestingly (and likely not coincidentally), the next rule establishes that S and T do not attend the same talk:
This is an intriguing rule, because with only five available talks (depending on the distribution), the placement of either S or T has a significant impact on the other variable. For example, in the 2-2-2-2-0 distribution, if you know which two talks S attends, you then know T must attend the other two talks that have attendees.
However, this rule is most interesting when considered in reference to H. Because only S and T can attend H, and S and T cannot both attend the same talk, we can determine that H either has no attendees or that H has exactly one attendee (S or T). That’s a particularly useful inference, because H can be used to determine the proper distribution:
- If the 2-2-2-2-0 distribution is in effect, then H must be the talk with zero attendees. Remember, H can have at most one attendee (S or T), so if another talk were to have no attendees, then H would have to have two attendees. But, since H can never have two attendees, we can infer that no other talk can have zero attendees (and thus, globally, all of the other talks must have at least one attendee). As only H can be the talk with no attendees, in the 2-2-2-2-0 distribution then the other four talks have exactly two attendees each, leading to the following distribution: 2F-2G-2I-2L-0H.
If S or T attends H, then the 2-2-2-1-1 distribution applies. Consequently, F, G, H, I, and L all have at least one attendee, and three of F, G, I, and L have two attendees: 2-2-2-1-1H.
The fourth rule can be combined with the first rule to produce a useful inference: T cannot attend F. Because Q cannot attend F, if T were to attend F there is no way to satisfy the fourth rule. Thus, T cannot attend F, which can be shown as a T Not Law on F:
While this is the first inference that follows from these two rules, there are two other powerful inferences that follow from combining these rules with other rules. The two most restricted talks are F and H. H was already discussed above, so the next logical point of examination is F.
As established in the discussion of the distributions above, F (and G, I, and L) must always have at least one attendee. Because Q and T cannot attend F, only R and S are available to attend S. But, when the final rule is considered, a powerful inference results: S must always attend F. Here’s why: if R attends F, then from the final rule S must also attend F. But, if R does not attend F, then only S remains to attend F, and because F must always have at least one attendee, S must then attend F. In either case, S attends F, and we can add that to our diagram:
With F and H both discussed, G is the only remaining restricted talk that has not yet been examined. Interestingly, the inference involving G is even trickier than the inference involving F.
Because R cannot attend G, only Q, S and T are available to attend G. Of course, from the third rule, S and T cannot attend the same talk, so there are only three options for employees to attend G:
- 1. Q and S
Q and S can both attend G under the 2-2-2-2-0 distribution: if S and R attend F, H is empty, and Q and T attend I (T attends L as well).
2. Q and T
If the first talk that T attends is G, then from the fourth rule Q must also attend G.
3. Q alone
Under the 2-2-2-1-1 distribution, Q can attend G alone if R and S attend F, S attends H, and Q and T attend I.
There is also a case to be made for creating two templates (one for each distribution), but the information in the final diagram is sufficient to attack the questions, especially if you get the inferences that H is the only talk that can have no attendees, and that S attends F, and Q attends G (and regrettably, these are all tough inferences, and it is very hard to get any one of them, let alone all three).
Overall, this is not a fun game. The three key inferences are each difficult to draw, and without them the game is exceptionally difficult. When combined with the second game, the two games form one of the toughest game tandems in LSAT history.
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