1. False advertisements results in





Write Comment

Type in
(Press Ctrl+g to toggle between English and the chosen language)

Comments

Tags
Show Similar Question And Answers
QA->German auto-maker Volkswagen has started a new media innovation with talking newspaper advertisements in two mainstream newspapers of India to launch of its new Vento sedan. Name that news papers which carried the speaking advertisement?....
QA->The Ministry of Information and Culture of which country asked all TV channels to avoid running commercial advertisements featuring female models on November 3, 2014?....
QA->Whichcommittee has been recently constituted to monitor Government Advertisements?....
QA->Insufficient contact breaker gap results in :....
QA->The deficiency of which vitamin results in scurvy?....
MCQ-> Read the following information and the accompanying graphs to answer the questions that follow. www.jay.com spent $ 5,57,000 during last 12 months for online display advertisements, also called impressions, on five websites (Website A, Website B, Website C, Website D and Website E). In this arrangement, www.jay.com is the Destination Site, and the five websites are referred to as the Ad Sites. The allocation of online display advertising expenditure is shown in Graph A. The online display advertisements helped www.jay.com to get visitors on its site. Online visitors, visiting the Ad Sites, are served display advertisements of www.jay.com and on clicking they land on the Destination Site (Graph B). Once on the Destination Site, some of the visitors complete the purchase process(Graph C) Quality traffic = $$\frac{\text{No. of site visitors who start purchase on destination site}}{\text{No. of visitors who click the online display advertisement}}$$ Leakage in online buying = 1 − $$\frac{\text {Complete buying on the destination website}}{\text{Start buying on the destination website}}$$Efficiency of online display advertising expenditure on an Ad Site = $$\frac{\text{No. of visitors from the Ad Site who complete the purchase process}}{\text{Amount spent on the Ad Site}}$$ Which of following Ad Sites provide facility of least cost per advertisement?
 ....
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->public class Test { public void foo() { assert false; / Line 5 / assert false; / Line 6 / } public void bar() { while(true) { assert false; / Line 12 / } assert false; / Line 14 / } } What causes compilation to fail?....
MCQ-> Given below is one passage followed by several possible inferences which can be drawn from the facts stated in the passage. You have to examine each inference separately in the context of the passage and decide upon its degree of truth or falsity. Mark - If you think answer (a) the inference is ‘Definitely True’, i.e., it properly follows from the statement of facts given (b) the inference is ‘Probably True’ though not ‘Definitely True’ in the light of the facts given (c) the ‘Data are Inadequate’, i.e., from the facts given you cannot say whether the inference is likely to be true or false (d) the inference is ‘Probably False’ though not ‘Definitely False’ in the light of the facts given. The inference is ‘Definitely False’, i.e., it cannot possibly be drawn from the facts given or it contradicts the given facts. ‘Holidays on Instalment Payment (HIP) plans are being introduced. According to an Indian Market Research Bureau (IMRB) study, at least 12,000 families in Mumbai alone will opt for such deferred payment plans for their holidays in the next three years e: None Of theseIn Mumbai ‘Holidays Instalment Payment (HIP)’ seems to be fulfilling need of people.
 ....
MCQ-> Below is given a passage followed by several possible inferences which can be drawn from the facts stated in the passage You have to examine each inference separately in the context of the passage and decide upon its degree of truth or falsity Give answer a:if the inference is “definitely true” i.e it properly follows from the statement of facts given Give answer b:if the inference is ‘ probably true’ though not ‘ definitely true’ in the light of the facts given Give answer c:if the data are inadequate i.e from the facts given you cannot say whether the inference is likely to be true or false Give answer d:if the inference is “probably false” though not “definitely false” in the light of the facts given e:if the inference is “definitely false” i.e it cannot possibly be drawn from the facts given or it contradicts the given facts. With the purpose of upliftment of Gonda district in Uttar Pradesh a new formula was evolved for practical success in several fields such as irrigation animal husbandry dairy farming moral uplift and creation of financial resources Small farms were clustered for irrigation by one diesel pump which could irrigate about 20 acres of land Youth were prompted to take loans from the banks for purchase of engine pumps to be supplied to the farmers on rent This formula worked so well that the villages in Gonda district were saturated with irrigation facilities. Cattle rearing was linked with multiple cropping Most of the targets fixed for different areas were achieved which was an unusual phenomenon This could be possible only because of right motivation participation and initiative of the people Imagination and creativity combined together helped in finding out workable solutions to the problems of the community.There was no problem and complaint of the people residing in entire Gonda district before the beginning of the project
 ....
Terms And Service:We do not guarantee the accuracy of available data ..We Provide Information On Public Data.. Please consult an expert before using this data for commercial or personal use
DMCA.com Protection Status Powered By:Omega Web Solutions
© 2002-2017 Omega Education PVT LTD...Privacy | Terms And Conditions