Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics andamp; Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer?

Explore Courses UPSC Exam UPSC Test Series Free Notes EduRev Infinity

Open App

CAT Exam > CAT Questions > Comprehension:To compare the persons with dis...

Join the Discussion on the App

Comprehension:
To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.
The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.

Q. The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?

a)
110%
b)
100%
c)
125%
d)
120%

Correct answer is option 'D'. Can you explain this answer?

FREE This question is part of

CAT Mock Test- 2

Attempt Test

Attempt this Test

Most Upvoted Answer

Comprehension:To compare the persons with disability by status of trea...

The total number of states which have positive deviation from 2018 = 12
The total number of states which have negative deviation from 2018 = 10
Therefore, required percentage = (12/10) × 100 = 120%

Answered by Wizius Careers · View profile

Attention CAT Students!

To make sure you are not studying endlessly, EduRev has designed CAT study material, with Structured Courses, Videos, & Test Series. Plus get personalized analysis, doubt solving and improvement plans to achieve a great score in CAT.

Quantitative Aptitude (Quant)

Crash Course for CAT

CAT Mock Test Series 2024

3 Months Preparation for CAT

View all answers Start learning for free

< Previous Question Next Question >

Explore Courses for CAT exam

Similar CAT Doubts

Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.Find the total number of persons with disability by status of treatment taken from different broad type of disability for those states/cities which have positive deviation from 2018.

View answer

Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.Find the average number of persons with disability by status of treatment taken from different broad type of disability for Delhi, Goa, Gujarat and Kerala in 2017.

View answer

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.

View answer

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."Tversky and Kahneman's findings ... lead to another rule that investors should follow". Which rule is the author talking about?I. Not to be influenced by the short term and occasional record of a money manager, broker, analysts, or advisor, no matter how impressive.II. To accept cursory economic or investment news without significant substantiation but supported by statistical evidence even if limited in data sufficiency.III. In making decisions we become overly immersed in the details of a particular situation and consider all the outcomes of similar experience in our past.IV. None of the above.

View answer

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.

View answer

Top Courses for CATView all

Quantitative Aptitude (Quant)

Crash Course for CAT

CAT Mock Test Series 2024

3 Months Preparation for CAT

CAT Mock Test Series and 500+ Practice Tests 2024

Top Courses for CAT

View all

Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer?

Share with a Friend

Answer this doubt

Question Description
Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. 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 Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer? covers all topics & solutions for CAT 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer?.

Solutions for Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. 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 Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer?, a detailed solution for Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer? has been provided alongside types of Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Comprehension:To compare the persons with disability by status of treatment taken for different broad type of disability, Ministry of Statistics & Programme Implementation, National Statistical Office released some information regarding the same on NSS 76th round held in (July-December) 2018.The following figure shows the persons with disability by status of treatment for different broad type of disability in 2018 and the percentage deviations from the persons with disability by status of treatment for different broad type of disability in 2017. Each state along with its original data of the number of persons with disability is presented in the figure.Q.The total number of states which have positive deviation from 2018 is what percentage of the total number of states which have negative deviation from 2018?a)110%b)100%c)125%d)120%Correct answer is option 'D'. Can you explain this answer? tests, examples and also practice CAT tests.

Explore Courses for CAT exam