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- Fri Mar 25, 2011 11:41 am
#90483
Setup and Rule Diagram Explanation
This is a Grouping: Defined-Fixed, Unbalanced: Overloaded game.
The game scenario indicates that six new cars are each equipped with at least one of three options. Prior to reading the rules, either the cars or the three options could be chosen as the base of the game. However, after reviewing the rules—each of which starts by listing a car and its related options—the cars are the better choice:
The first two rules establish options for V and W:
The third rule indicates that W and Y do not have any options in common. Because W already has two options from the second rule, Y must then have the remaining option, S. The combination of the second and third rules also numerically sets W’s options at 2, and Y’s options at 1:
The fourth rule states that X has more options than W:
Because W already has two options, X must have all three options:
The fifth rule indicates that V and Z have exactly one option in common:
The operational effect of this rule is that Z cannot have all three options (otherwise Z would have both P and S, a violation of the rule).
The sixth rule is another numerical rule, this time indicating that T has fewer options than Z:
Because each car has at least one option, T must have at least one or two options under this rule. But, if T has two options, Z would have to have three options, which is not possible as discussed in the analysis of the fifth rule. So, Z must have two options, and T must have exactly one option. Because Z has two options, and can only have one of P and S, we can also infer that Z must have L as an option. Finally, because Z has two options, by applying the fifth rule we can infer that V cannot have all three options, and thus has only two options. Combining all of the prior information results in the final setup:
Because the Numerical Distribution is so critical, let’s review the steps that create the distribution:
1. Since W has at least two options, and W and Y have no options in common, it follows that
W must have exactly two options and Y must have exactly one option.
2. Since X has more options than W, X must have exactly three options.
3. Since T has fewer options than Z, Z must have at least two options. And since V has at least
two options and V and Z have only one option in common, it follows that Z cannot have three
options. Therefore, Z must have exactly two options. Because of the VZ rule it follows that V
cannot have three options and therefore V must have exactly two options.
4. Since Z must have two options, it follows that T must have exactly one option.
5. The above steps create the 1-2-2-3-1-2 Fixed Distribution.
With the distribution, determining most of the options is simple. The only uncertainty in the game is what option T will have, and whether Z will have P or S.
This is a Grouping: Defined-Fixed, Unbalanced: Overloaded game.
The game scenario indicates that six new cars are each equipped with at least one of three options. Prior to reading the rules, either the cars or the three options could be chosen as the base of the game. However, after reviewing the rules—each of which starts by listing a car and its related options—the cars are the better choice:
The first two rules establish options for V and W:
The third rule indicates that W and Y do not have any options in common. Because W already has two options from the second rule, Y must then have the remaining option, S. The combination of the second and third rules also numerically sets W’s options at 2, and Y’s options at 1:
The fourth rule states that X has more options than W:
Because W already has two options, X must have all three options:
The fifth rule indicates that V and Z have exactly one option in common:
The operational effect of this rule is that Z cannot have all three options (otherwise Z would have both P and S, a violation of the rule).
The sixth rule is another numerical rule, this time indicating that T has fewer options than Z:
Because each car has at least one option, T must have at least one or two options under this rule. But, if T has two options, Z would have to have three options, which is not possible as discussed in the analysis of the fifth rule. So, Z must have two options, and T must have exactly one option. Because Z has two options, and can only have one of P and S, we can also infer that Z must have L as an option. Finally, because Z has two options, by applying the fifth rule we can infer that V cannot have all three options, and thus has only two options. Combining all of the prior information results in the final setup:
Because the Numerical Distribution is so critical, let’s review the steps that create the distribution:
1. Since W has at least two options, and W and Y have no options in common, it follows that
W must have exactly two options and Y must have exactly one option.
2. Since X has more options than W, X must have exactly three options.
3. Since T has fewer options than Z, Z must have at least two options. And since V has at least
two options and V and Z have only one option in common, it follows that Z cannot have three
options. Therefore, Z must have exactly two options. Because of the VZ rule it follows that V
cannot have three options and therefore V must have exactly two options.
4. Since Z must have two options, it follows that T must have exactly one option.
5. The above steps create the 1-2-2-3-1-2 Fixed Distribution.
With the distribution, determining most of the options is simple. The only uncertainty in the game is what option T will have, and whether Z will have P or S.
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Dave Killoran
PowerScore Test Preparation
Follow me on X/Twitter at http://twitter.com/DaveKilloran
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PowerScore Test Preparation
Follow me on X/Twitter at http://twitter.com/DaveKilloran
My LSAT Articles: http://blog.powerscore.com/lsat/author/dave-killoran
PowerScore Podcast: http://www.powerscore.com/lsat/podcast/