1. Optium results in marketing is possible through............






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MCQ-> Study the following information carefully and answer the questions given below : Following are the conditions for selecting a Marketing Manager in an organisation The candidate must…………. (i) be at least 25 years and not more than 35 vears old as on 01.12.2011- (ii) be to graduate in any discipline with its least 55% aggregate marks. (iii) have completed Post Graduate Degree/Diploma in Management with specialisation in Marketing Management with at least 60% marks. (iv) have post qualification work experience of at least 5 years as Assistant Marketing Manager in an organisation. in the case of a candidate who fulfills all the conditions except……….. (a) at (ii) above, but has secured at least 50% in graduation and at least 65% in Post Graduate Degree/Diploma in Management with specialisation in Marketing Management, his/her case is to be referred to Head-Marketing. (b) at (ii) above, but is not more than 40 years old and has work experience of 8 years as Assistant Marketing Manager. his/her case is to be referred to Managing Director. In each question below, details of one candidate arc provided. You have to take one of the following courses of actions based on the conditions given above and the information provided in each question and mark the number of that course of action as your answer. You are not to assume anything other than the information provided in each question. All these cases arc given to you as on 01.12.2011. Mark answer : a: if the data provided arc inadequate to take a decision. b: if the candidate is not to he selected. c: if the candidate is to be selected. d: if the t-tise is hi be referred to Head Marketing. e: if the cast is to be relerred to Managing Director. Now read the information provided in each question and mark your answer accordingly.Medha Gosavi was born on 8th March 1982. She has been working as Assistant Marketing Manager in an organisation for the past six years after completing her Post Graduate Degree in Management with specialisation in Marketing Management with 70% marks. She has secured 53% marks in B. Com
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MCQ->Optium results in marketing is possible through................
MCQ-> Read the following information carefully and answer the questions given below :Following are the criteria for hiring Marketing Manager in a company The applicant must----- (i) be a post graduate in Marketing Management (ii) be at least 25 years old as on 30.4.2001. (iii) have work experience of at least three years (iv) be ready to work for at least two years after appointed.However, if a candidate--- (a) fulfils all other criteria except at (i) above, but has work experience of more than five years-- the case is to be referred to General Manager-Marketing. (b) fulfils all other criteria except at (iv) above, but has obtained Ph.D. Degree, the case may be referred to Vice President-Marketing.Based on the above criteria and the information given in each case, you have to take the decision in each case. You are not assume anything. The cases are given to you as on 30.4.2001.Shankar Trivedi was born on 27th August, 1972. He has been working since January 1992. He has appeared in the final examination of Part Time Post Graduate Programme in Marketing Management. He is ready to work for five more years.
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MCQ-> Read the following case – let and answer the question that follow Krishna Reddy was the head of a pharmaceutical company that was trying to develop a new product. Reddy, along with his friend Prabhakar Rao, assessed that such products had mixed success. Reddy and Rao realized that if a new product (a drug) was a success, it may result in sales of 100 crores but if it is unsuccessful, the sales may be only 20 crores. They further assessed that a new drug was likely to be successful 50% of times. Cost of launching the new drug was likely to be 50 crores. Now, Reddy and Rao were in a quandary whether the company should go ahead and market the drug. They contacted Raj Adduri, a common friend for advice. Adduri was of the opinion that given the risky nature of launch, it may be a better idea to test the market. Rao and Reddy realized test marketing would cost 10 crores. Adduri told them the previous test marketing results have been favorable 70% of times and success rate of products favorably tested was 80%.Further, when test marketing results were unfavorable; the products have been successful 30% of the times.How much profit can the company expect to earn if it launches the new drug(suppose there are no additional costs)?
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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.....
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