Homework 2 Solution Key Problem 1. Suppose that you sell short 500 shares of Intel‚ currently selling for $40 per share‚ and you give your broker $15‚000 to establish your margin account. Assume Intel pays no dividends. a) If you earn no interest on the funds in your margin account‚ what will be your rate of return after one year if Intel stock is selling at (i) $44; (ii) $40; (iii) $36? The gain or loss on the short position is 500 P . Invested funds are $15‚000. Therefore‚ your rate
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Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that
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is safe to say that you know the drill when it comes to lists like these. I tell you five things you didn’t know about a game‚ and you categorically deny not knowing them. So‚ with that being said Far Cry Primal makes its way up next. 1. YOU CAN SURVIVE IN THE WINTER WITHOUT CRAFTED CLOTHING Far Cry Primal would have you believe that you can’t survive in the arctic regions without crafting better winter gear. However‚ this is not true and there are ways around it. One‚ in particular‚ is to make sure
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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Never Cry Wolf by Farley Mowat is a non-fiction story about naturalist Farley Mowat‚ on an expedition to find out why so many caribou were being killed. Mowat’s superiors believed that wolves were killing the caribou. He spent almost a year investigating the wolves’ way of life focusing on a small pack made up of two males and a female with her pups. Mowat camped near their den and observed their eating and hunting habits.He observed that wolves rarely ate caribou and when they did‚ it was the weak
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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each country has a certain image and a multifaceted structure. First studies on country image in the literature belong to the 1930s and 1940s (Katz and Braly‚ 1933; Klingberg‚ 1941). On those years‚ several researches were done on impacts of social psychological processes‚ economic‚ cultural and political events on country image. But in these years‚ national perceptions and prototypes are of particular importance (Katz and Braly‚ 1933; 1943; Klinberg‚1941). Nagashima (1970) considers country image
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TRAINING BACHELOR OF SCIENCE IN INFORMATION TECHNOLOGY GRADING SYSTEM Semester School Year Name: Address: Final Rating: A. PERSONAL TRAITS a. Grooming b. Interest in Work c. Cooperative d. Initiative e. Adaptability B. SKILL / PERFORMANCE |a. |Typing | | |b. |Filing / Records Management |
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tourists and was driving them to Kata Beach when he looked around and found his cab empty. Another told the story of a local family whose telephone rings constantly through the day and night. When answered‚ the voices of missing friends and relatives cry out for help. Nils sank in his chair when he
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