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The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.

The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as follows
Fitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x Agility
The following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.

Based on the information, given above, answer the questions that follow.
Q. Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?
  • a)
    6
  • b)
    5
  • c)
    7
  • d)
    4
Correct answer is option 'A'. Can you explain this answer?
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Most Upvoted Answer
The following table represents the records in the last 5 series and fi...
Since, the Fitness Index of A to K is calculated as follows,
Fitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x Agility, we get the fitness index of A = 0.4 x 78 + 0.3 x 89 + 0.3 x 90 = 84.9
Similarly calculating the fitness index of all the players from A to K, 

Hence, the fitness index of D, E, F, G, H, and J are greater than or equal to 85.
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The following table represents the records in the last 5 series and fi...
Since, the Fitness Index of A to K is calculated as follows,
Fitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x Agility, we get the fitness index of A = 0.4 x 78 + 0.3 x 89 + 0.3 x 90 = 84.9
Similarly calculating the fitness index of all the players from A to K, 

Hence, the fitness index of D, E, F, G, H, and J are greater than or equal to 85.
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The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q. If all the 19 players are ranked on the basis of their Fitness Index with the one with the highest Fitness Index being assigned Rank 1 and the one with the lowest Fitness Index being assigned Rank 19, who is ranked 13?If the rank of 2 players based on their Fitness Index is the same, we rank them in alphabetical order of their names, that is if both A and D have the 4th rank A is ranked 4 and D is ranked 5.

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.The author of the passage suggests the anomaly that leads to systematic errors in predicting the future. Which of the following statements does not best describe the anomaly as suggested in the passage above?I. The psychological pressures account for the anomalies just like soothsayers warning about the doomsday and natural disasters and market crashes.II. Contrary to several economic and financial theories investors are not good intuitive statisticians, especially under difficult conditions and are unable to calculate the odds properly when making investments choices.III. Investors are swamped with information and they react to this avalanche of data by adopting shortcuts or rules of thumb rather than formally calculating odds of a given outcome.IV. The distortions produced by subjectively calculated probabilities are large, systematic and difficult to eliminate even when investors are fully aware of them.

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.The author of the passage suggests the anomaly that leads to systematic errors in predicting future. Which of the following statements does not best describe the anomaly as suggested in the passage above?I. The psychological pressures account for the anomalies just like soothsayers warning about the doomsday and natural disasters and market crashes.II. Contrary to several economic and financial theories investors are not good intuitive statisticians, especially under difficult conditions and are unable to calculate the odds properly when making investments choices.III. Investors are swamped with information and they react to this avalanche of data by adopting shortcuts or rules of thumb rather than formally calculating odds of a given outcome.IV. The distortions produced by subjectively calculated probabilities are large, systematic and difficult to eliminate even when investors are fully aware of them.

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The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer?
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The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? for CAT 2025 is part of CAT preparation. The Question and answers have been prepared according to the CAT exam syllabus. Information about The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? covers all topics & solutions for CAT 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer?.
Solutions for The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? in English & in Hindi are available as part of our courses for CAT. Download more important topics, notes, lectures and mock test series for CAT Exam by signing up for free.
Here you can find the meaning of The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer?, a detailed solution for The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? has been provided alongside types of The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice The following table represents the records in the last 5 series and fitness statistics of 11 Indian Cricket Team players A to K.The Speed, Strength and Agility are measured in certain indices, and the values mentioned are out of a 0 to 100 scale. The Fitness Index is calculated as followsFitness Index = 0.4 x Speed + 0.3 x Strength + 0.3 x AgilityThe following table represents the records in the last IPL season and the fitness index for 8 players, P to W, who have played in the IPL but are yet to debut for the Indian Cricket Team.Based on the information, given above, answer the questions that follow.Q.Among the players who have played for the Indian Cricket Team, how many have a minimum fitness index of 85?a)6b)5c)7d)4Correct answer is option 'A'. Can you explain this answer? tests, examples and also practice CAT tests.
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