LSAT 58 RC2 2x
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Review these RC quizzes right after you do them. For anything that you’re not 100% on google the first bunch of words of the question and seek out explanations online. If after spending some time reviewing you’re still having a tough time then bring the question to your next tutoring session. Really fight to understand the logic of these questions. Remember: 1 is correct 4 are incorrect. Really push yourself to be black and white with correct v. incorrect. It is extremely rare that two answer choices are technically OK but one is stronger. It can happen but we’re talking 1% of the time. So, with that in mind let’s have the mindset that it never happens and that we need to be binary: 1 correct. 4 incorrect. That mindset is key to improvement.
Answer key:
LSAT 58 RC2 Q1 – D
LSAT 58 RC2 Q2 – C
LSAT 58 RC2 Q3 – A
LSAT 58 RC2 Q4 – B
LSAT 58 RC2 Q5 – A
LSAT 58 RC2 Q6 – E
 1
 2
 3
 4
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 6
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 Answered
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Question 1 of 6
1. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
1. Which one of the following most accurately expresses the main point of the passage?
CorrectIncorrect 
Question 2 of 6
2. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
2.Â According to the passage, which one of the following is true?
CorrectIncorrect 
Question 3 of 6
3. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
3. The passage most strongly suggests that Emeagwali holds which one of the following views?
CorrectIncorrect 
Question 4 of 6
4. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
4. Which one of the following most accurately describes the function of the first two sentences of the second paragraph?
CorrectIncorrect 
Question 5 of 6
5. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. (55) Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. (58) This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
5.Â Which one of the following, if true, would provide the most support for Emeagwaliâ€™s prediction mentioned in lines 55â€“58?
CorrectIncorrect 
Question 6 of 6
6. Question
This passage was adapted from articles published in the 1990s.
The success that Nigerianborn computer scientist Philip Emeagwali (b. 1954) has had in designing computers that solve realworld problems has been fueled by his willingness to reach beyond established paradigms and draw inspiration for his designs from nature. In the 1980s, Emeagwali achieved breakthroughs in the design of parallel computer systems. Whereas single computers work sequentially, making one calculation at a time, computers connected in parallel can process calculations simultaneously. In 1989, Emeagwali pioneered the use of massively parallel computers that used a network of thousands of smaller computers to solve what is considered one of the most computationally difficult problems: predicting the flow of oil through the subterranean geologic formations that make up oil fields. Until that time, supercomputers had been used for oil field calculations, but because these supercomputers worked sequentially, they were too slow and inefficient to accurately predict such extremely complex movements.
To model oil field flow using a computer requires the simulation of the distribution of the oil at tens of thousands of locations throughout the field. At each location, hundreds of simultaneous calculations must be made at regular time intervals relating to such variables as temperature, direction of oil flow, viscosity, and pressure, as well as geologic properties of the basin holding the oil. In order to solve this problem, Emeagwali designed a massively parallel computer by using the Internet to connect to more than 65,000 smaller computers. One of the great difficulties of parallel computing is dividing up the tasks among the separate smaller computers so that they do not interfere with each other, and it was here that Emeagwali turned to natural processes for ideas, noting that tree species that survive today are those that, over the course of hundreds of millions of years, have developed branching patterns that have maximized the amount of sunlight gathered and the quantity of water and sap delivered. Emeagwali demonstrated that, for modeling certain phenomena such as subterranean oil flow, a network design based on the mathematical principle that underlies the branching structures of trees will enable a massively parallel computer to gather and broadcast the largest quantity of messages to its processing points in the shortest time.
In 1996 Emeagwali had another breakthrough when he presented the design for a massively parallel computer that he claims will be powerful enough to predict global weather patterns a century in advance. The computerâ€™s design is based on the geometry of beesâ€™ honeycombs, which use an extremely efficient threedimensional spacing. Emeagwali believes that computer scientists in the future will increasingly look to nature for elegant solutions to complex technical problems. This paradigm shift, he asserts, will enable us to better understand the systems evolved by nature and, thereby, to facilitate the evolution of human technology.
6. It can be inferred from the passage that one of the reasons massively parallel computers had not been used to model oil field flow prior to 1989 is that
CorrectIncorrect