In context to astronomy, “Charkilo” which is in news recently is : ?->(Show Answer!)

1. In context to astronomy, “Charkilo” which is in news recently is :

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MCQ->In context to astronomy, “Charkilo” which is in news recently is :....

MCQ-> Study the following information carefully and answer the questions given below : A college planned to conduct an education fair. The college asked foreign universities to participate in the education fair so that students could know about the foreign universities. Even foreign universities can tell which course is good in which university. The courses offered by these universities are, Social Science, Psychology. Medicine, Commerce, Astronomy, Computer Science and Architecture. The fair will start on Monday and will end on Sunday of the same week. Social Science stall will be set up immediately before the Medicine stall. Medicine stall will not be set up on Tuesday or Thursday. There will be a gap of one day between the stalls of Astronomy and Medicine. Architecture stall will be set up immediately after Astronomy stall. Computer Science stall will be set up on Monday.Which of the following stalls will be set up on Thursday?
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MCQ->Statement: Science is a sort of news agency comparable in principle to other new agencies. But this news agency gives us information which is reliable to an extraordinary high degree due to elaborate techniques of verification and its capacity to survive centuries. So, science should be read with as much interest as we read news. Assumptions: Science encourages investigative spirit. People read news out of interest.

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MCQ-> 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 record), 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 twice). 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.Which statement does not reflect the true essence of the passage? I. Tversky and Kahneman understood that small representative groups bias the research theories to generalize results that can be categorized as meaningful result and people simplify the real impact of passable portray of reality by small number of supporting facts. II. Governmental economic releases on macroeconomic indicators fetch blind faith from investors who appropriately discount these announcements which are ideally reflected in the stock and bond market prices. III. Investors take into consideration myopic gain and make it meaningful investment choice and fail to see it as a chance of occurrence. IV. lrrational overreaction to key regulators expressions is same as intuitive statistician stumbling disastrously when unable to sustain spectacular performance.....

MCQ-> Read the following passage carefully and answer the questions given. Certain words/phrases have been given in bold to help you locate them while answering some of the questions.Inland waterways, as quiet as a mouse, keep the nation’s economy flowing as they transport $180 billion of coal, steel, chemicals and other goods each year across 38 states. Yet, an antiquated system of locks and dams threatens the timely delivery of those goods daily.Locks and dams raise or lower ships from one water level to the next, but breakdown of these carriers are frequent. The outage, which began last July, and is expected to end this August, will cost the power generation company and its customers $5.5 million as the utility ferries coal and other supplies along the river for itself and other businesses. As the economy picks up, the nation’s creaking infrastructure will increasingly struggle to handle the load. That will make products more expensive as businesses pay more for shipping or maneuver around roadblocks and it will cause the nation to lose exports to other countries both of which are expected to hamper the recovery. `The good news is, that the economy is turning,” says Dan Murray, Vice President of the Transportation Research Institute.“The bad news is we expect congestion to skyrocket,” he added. The ancient lockanddam system is perhaps the most egregious example of aging or congested transportation systems that are being outstripped by demand. Fourteen locks, out of the total twenty eight are expected to fail by 2020, costing the economy billions of dollars. Meanwhile, seaports cannot accommodate larger container ships, slowing exports and imports highways are too narrow. Bridges are overtaxed. The shortcomings were partly masked during the recession as fewer people worked and less freight was shipped, easing traffic on transportation corridors. But interviews with shippers and logistics companies showed that delays started lengthening along with the moderately growing economy. Yet there is little prospect for more infrastructure investment as a divided Government battles about how to cut the $1.3 trillion deficit and State and Local Governments face their own budget shortfalls. Government investment in highways, bridges, water systems, schools and other projects has fallen each year since 2008. IHS Global Insight expects such outlays to drop by 4.4% this year and 3% in the next year. According to experts, the country is spending about half of the $2.2 trillion that it should over a five year period to repair and expand overburdened infrastructure.Which of the following is TRUE in the context of the passage and according to the author?
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