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Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:
i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.
ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.
iii. No man teams up with another man and no two teams have all subjects common.
iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects. 
Q. Which subjects have Carla-Brinda selected?
  • a)
    Chemistry, Physics, Biology and Statistics
  • b)
    Chemistry, Physics, Mathematics and Statistics
  • c)
    Chemistry, Physics, Mathematics and Biology
  • d)
    Physics, Statistics, Mathematics and Biology
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Br...
From the solution to the first question of the set we can see that Carla-Brinda have selected Chemistry, Physics, Biology, Statistics as their subjects.Hence, option 1.
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People are continually enticed by such "hot" performance, even if it lasts for brief periods.Because of this susceptibility, brokers or analysts who have had one or two stocks move up sharply, or technicians who call one turn correctly, are believed to have established a credible record and can readily find market followings. Likewise, an advisory service that is right for a brief time can beat its drums loudly. Elaine Garzarelli gained near immortality when she purportedly "called" the 1987 crash. Although, as the market strategist for Shearson Lehman, her forecast was never published in a research report, nor indeed communicated to its clients, she still received widespread recognition and publicity for this call, which was made in a short TV interview on CNBC. Still, her remark on CNBC that the Dow could drop sharply from its then 5300 level rocked an already nervous market on July 23, 1996. What had been a 40-point gain for the Dow turned into a 40-point loss, a good deal of which was attributed to her comments.The truth is, market-letter writers have been wrong in their judgments far more often than they would like to remember. However, advisors understand that the public considers short-term results meaningful when they are, more often than not, simply chance. Those in the public eye usually gain large numbers of new subscribers for being right by random luck. Which brings us to another important probability error that falls under the broad rubric of representativeness. Amos Tversky and Daniel Kahneman call this one the "law of small numbers.". The statistically valid "law of large numbers" states that large samples will usually be highly representative of the population from which they are drawn; for example, public opinion polls are fairly accurate because they draw on large and representative groups. The smaller the sample used, however (or the shorter the recor d), the more likely the findings are chance rather than meaningful. Yet the Tversky and Kahneman study showed that typical psychological or educational experimenters gamble their research theories on samples so small that the results have a very high probability of being chance. This is the same as gambling on the single good call of an advisor. The psychologists and educators are far too confident in the significance of results based on a few observations or a short period of time, even though they are trained in statistical techniques and are aware of the dangers.Note how readily people over generalize the meaning of a small number of supporting facts. Limited statistical evidence seems to satisfy our intuition no matter how inadequate the depiction of reality. Sometimes the evidence we accept runs to the absurd. A good example of the major overemphasis on small numbers is the almost blind faith investors place in governmental economic releases on employment, industrial production, the consumer price index, the money supply, the leading economic indicators, etc. These statistics frequently trigger major stock- and bond-market reactions, particularly if the news is bad. Flash statistics, more times than not, are near worthless. Initial economic and Fed figures are revised significantly for weeks or months after their release, as new and "better" information flows in. Thus, an increase in the money supply can turn into a decrease, or a large drop in the leading indicators can change to a moderate increase. These revisions occur with such regularity you would think that investors, particularly pros, would treat them with the skepticism they deserve. Alas, the real world refuses to follow the textbooks. Experience notwithstanding, investors treat as gospel all authoritative-sounding releases that they think pinpoint the development of important trends. An example of how instant news threw investors into a tailspin occurred in July of 1996. Preliminary statistics indicated the economy was beginning to gain steam. The flash figures showed that GDP (gross domestic product) would rise at a 3% rate in the next several quarters, a rate higher than expected. Many people, convinced by these statistics that rising interest rates were imminent, bailed out of the stock market that month. To the end of that year, the GDP growth figures had been revised down significantly (unofficially, a minimum of a dozen times, and officially at least twic e). The market rocketed ahead to new highs to August l997, but a lot of investors had retreated to the sidelines on the preliminary bad news. The advice of a world champion chess player when asked how to avoid making a bad move. His answer: "Sit on your hands”. But professional investors don't sit on their hands; they dance on tiptoe, ready to flit after the least particle of information as if it were a strongly documented trend. The law of small numbers, in such cases, results in decisions sometimes bordering on the inane. Tversky and Kahneman's findings, which have been repeatedly confirmed, are particularly important to our understanding of some stock market errors and lead to another rule that investors should follow.According to the passage which statement written below is farthest in explaining the meaning of the passage above?I. Market letter writers have been wrong in their judgments many a times but they continue to express their opinion as dramatic predictions and well-times calla result in huge rewards to analysts, journalist and popular writers.II. Public opinion polls are fairly accurate because they are based on randomly selected diminutive representative groups and hence are more meaningful than intuitive statistics of an outcome.III. People generally limit the need for hefty statistical evidence as it satisfies their intuition without reflecting the reality.IV. None of the above.

People are continually enticed by such "hot" performance, even if it lasts for brief periods. Because of this susceptibility, brokers or analysts who have had one or two stocks move up sharply, or technicians who call one turn correctly, are believed to have established a credible record and can readily find market followings. Likewise, an advisory service that is right for a brief time can beat its drums loudly. Elaine Garzarelli gained near immortality when she purportedly "called" the 1987 crash. Although, as the market strategist for Shearson Lehman, her forecast was never published in a research report, nor indeed communicated to its clients, she still received widespread recognition and publicity for this call, which was made in a short TV interview on CNBC. Still, her remark on CNBC that the Dow could drop sharply from its then 5300 level rocked an already nervous market on July 23, 1996. What had been a 40-point gain for the Dow turned into a 40-point loss, a good deal of which was attributed to her comments.The truth is, market-letter writers have been wrong in their judgments far more often than they would like to remember. However, advisors understand that the public considers short-term results meaningful when they are, more often than not, simply chance. Those in the public eye usually gain large numbers of new subscribers for being right by random luck. Which brings us to another important probability error that falls under the broad rubric of representativeness. Amos Tversky and Daniel Kahneman call this one the "law of small numbers.". The statistically valid "law of large numbers" states that large samples will usually be highly representative of the population from which they are drawn; for example, public opinion polls are fairly accurate because they draw on large and representative groups. The smaller the sample used, however (or the shorter the recor d), the more likely the findings are chance rather than meaningful. Yet the Tversky and Kahneman study showed that typical psychological or educational experimenters gamble their research theories on samples so small that the results have a very high probability of being chance. This is the same as gambling on the single good call of an advisor. The psychologists and educators are far too confident in the significance of results based on a few observations or a short period of time, even though they are trained in statistical techniques and are aware of the dangers.Note how readily people over generalize the meaning of a small number of supporting facts. Limited statistical evidence seems to satisfy our intuition no matter how inadequate the depiction of reality. Sometimes the evidence we accept runs to the absurd. A good example of the major overemphasis on small numbers is the almost blind faith investors place in governmental economic releases on employment, industrial production, the consumer price index, the money supply, the leading economic indicators, etc. These statistics frequently trigger major stock- and bond-market reactions, particularly if the news is bad. Flash statistics, more times than not, are near worthless. Initial economic and Fed figures are revised significantly for weeks or months after their release, as new and "better" information flows in. Thus, an increase in the money supply can turn into a decrease, or a large drop in the leading indicators can change to a moderate increase. These revisions occur with such regularity you would think that investors, particularly pros, would treat them with the skepticism they deserve. Alas, the real world refuses to follow the textbooks. Experience notwithstanding, investors treat as gospel all authoritative-sounding releases that they think pinpoint the development of important trends. An example of how instant news threw investors into a tailspin occurred in July of 1996. Preliminary statistics indicated the economy was beginning to gain steam. The flash figures showed that GDP (gross domestic product) would rise at a 3% rate in the next several quarters, a rate higher than expected. Many people, convinced by these statistics that rising interest rates were imminent, bailed out of the stock market that month. To the end of that year, the GDP growth figures had been revised down significantly (unofficially, a minimum of a dozen times, and officially at least twic e). The market rocketed ahead to new highs to August l997, but a lot of investors had retreated to the sidelines on the preliminary bad news. The advice of a world champion chess player when asked how to avoid making a bad move. His answer: "Sit on your hands . But professional investors don't sit on their hands; they dance on tiptoe, ready to flit after the least particle of information as if it were a strongly documented trend. The law of small numbers, in such cases, results in decisions sometimes bordering on the inane. Tversky and Kahneman's findings, which have been repeatedly confirmed, are particularly important to our understanding of some stock market errors and lead to another rule that investors should follow.According to the passage which statement written below is farthest in explaining the meaning of the passage above?I. Market letter writers have been wrong in their judgments many times but they continue to express their opinion as dramatic predictions and well-times calls result in huge rewards to analysts, journalists and popular writers.II. Public opinion polls are fairly accurate because they are based on randomly selected diminutive representative groups and hence are more meaningful than intuitive statistics of an outcome.III. People generally limit the need for hefty statistical evidence as it satisfies their intuition without reflecting the reality.IV. None of the above.

Direction: Read the following passages given below and answer the questions given at the end of each passage.How many really suffer as a result of labour market problems? This is one of the most critical yet contentious social policy questions. In many ways, our social statistics exaggerate the degree of hardship. Unemployment does not have the same dire consequences today as it did in the 1930s when most of the unemployed were primary breadwinners, when income and earnings were usually much closer to the margin of subsistence, and when there were no countervailing social programmes for those failing in the labour market. Increasing affluence, the rise of families with more than one wage earner, the growing predominance of secondary earners among the unemployed, and improved social welfare protection have unquestionably mitigated the consequences of joblessness.Earnings and income data also overstate the dimensions of hardship. Among the millions with hourly earnings at or below the minimum wage level, the overwhelming majority are from multiple-earner, relatively affluent families. Most of those counted by the poverty statistics are elderly or handicapped or have family responsibilities which keep them out of the labour force, so the poverty statistics are by no means an accurate indicator of labour market pathologies. Yet there are also many ways our social statistics underestimate the degree of labour-market-related hardship. The unemployment counts exclude the millions of fully employed workers whose wages are so low that their families remain in poverty. Low wages and repeated or prolonged unemployment frequently interact to undermine the capacity for self-support. Since the number experiencing joblessness at same time during the year is several times the number unemployed in any month, those who suffer as a result of forced idleness can equal or exceed average annual unemployment, even though only a minority of the jobless in any month really suffer.For every person counted in the monthly unemployment tallies, there is another working part-time because of the inability to find full-time work, or else outside the labour force but wanting a job. Finally, income transfers in our country have always focused on the elderly, disabled, and dependent, neglecting the needs of the working poor, so that the dramatic expansion of cash and in-kind transfers does not necessarily mean that those failing in the labour market are adequately protected.As a result of such contradictory evidence, it is uncertain whether those suffering seriously as a result of labour market problems number in the hundreds of thousands or the tens of millions, and, hence, whether high levels of joblessness can be tolerated or must be countered by job creation and economic stimulus. There is only one area of agreement in this debate that the existing poverty, employment, and earnings statistics are inadequate for one their primary applications, measuring the consequences of labour market problems.Q. Which of the following is the principal topic of the passage?

Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer?
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Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? for CAT 2024 is part of CAT preparation. The Question and answers have been prepared according to the CAT exam syllabus. Information about Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? covers all topics & solutions for CAT 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer?.
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Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer?, a detailed solution for Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? has been provided alongside types of Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Four men - Aaron, Brad, Dennis & Ethan and six women - Brianna, Brinda, Carla, Catelyn, Emily, Shae team up to form five teams of two members each. Each team has to choose fo ur different subjects out of - Chemistry, Biology, Physics, Mathematics and Statistics. The teams are formed according to the following rules:i. Shae teamed up with Brad choosing Mathematics, Biology and Physics while Carla teamed up with Brinda.ii. Dennis and Emily have exactly three subjects in common while Brianna does not have Biology as one of her subjects.iii. No man teams up with another man and no two teams have all subjects common.iv. Emily and Aaron did not choose Chemistry and Physics respectively as one of their subjects.Q. Which subjects have Carla-Brinda selected?a)Chemistry, Physics, Biology and Statisticsb)Chemistry, Physics, Mathematics and Statisticsc)Chemistry, Physics, Mathematics and Biologyd)Physics, Statistics, Mathematics and BiologyCorrect answer is option 'A'. Can you explain this answer? tests, examples and also practice CAT tests.
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