Submitted By melmelj1990

Words 370

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Words 370

Pages 2

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh fksdlgsud dlskdgus sdlij

Dlgj alkga agajg;a gagja gagja ag algkrgtoeg aglakgr agalgkagrgj agag;eoeigg g swsledg g sg s gs d gs g dkidgi s djgosle g sgoseie d gs dg sg sdgjsgjs slsdog s dkfh…...

...environment at hand and lastly the cost of establishment and implementation of a HR department. Descriptive study has been undertaken to address this paper due to the absence of HR department in the university. Through this study feasibility of an HR department is inquired. The methods used for data collection and research is entirely based on a survey which consists of a combination of questionnaires and interviews which have enabled us to collect primary data for this study as no secondary data can be found due to the absence of the HR department in the university. Multi-stage sampling was carried out where sampling is conducted by using 2 techniques. Here they used random sampling and systematic sampling. Faculty members and employees from the administrative staff were selected as sample. Although selection was random but was based on certain set of rules i.e. systematic sampling. Faculty members were selected from all departments but on the basis of specific seniority where faculty members defined as assistant professors and senior lecturers with at least 1 year experience. In case of administrative staff their seniority and experience in the campus was highly considered when drawing a sample. The sample size for research consisted of 30% of the total number of faculty members, therefore 25 faculty members and about 5 staff members from the administration department. Q2. Why did the author select these methods for his research paper? Ans2. We will describe the......

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...Random Teen Drug Testing The Rodziwan family lived a block over from my family in Hempfield township PA. They had a son named Jeremy, he was a great kid, straight A’s, all-star football player, active in Eagle Scouts, and worked in the family business. A child any parent would be proud of. Until one Wednesday night he went out with some friends and over dosed on heroin, there was no reviving him. What no one knew was that he became addicted to heroin eight months ago; if only his parents would have suspected something they could have tried to help him. Unfortunately, there were no signs with Jeremy; he just seemed like such a great kid. The schools in our area have begun to randomly drug test students whose parents allow it starting in 6th grade. Many parents are in an uproar about this, “not my kid” they say. I think every parent should take advantage of this amazing opportunity that the school district is providing them. It’s time to wake up, open our eyes and realize that 33,000 teens die each year because of drug over dose. If your child’s school is offering at home random drug testing, take it, even if you think your child never would. I believe that there are great benefits to this and they outweigh anything that could be viewed as a downfall. The average age to try drugs for the first time is thirteen or 7th grade. According to the National Institute on Drug Abuse (2009) almost two-thirds of all teens have tried drugs by this age. I think it is pretty much common...

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...Random words When I got home that night my wife served dinner, I held her hand and said, I’ve got something to tell you. She sat down and ate quietly. Again I observed the hurt in her eyes. Suddenly I didn’t know how to open my mouth. But I had to let her know what I was thinking about divorce. I raised the topic calmly. She didn’t seem to be annoyed by my words, instead she asked me softly, why? I avoided her question. This made her angry. She threw away the chopsticks and shouted at me, you are not a man! That night, we didn’t talk to each other. She was weeping. I knew she wanted to find out what had happened to our marriage. But I could hardly give her a satisfactory answer; she had lost my heart to Jane. I didn’t love her anymore. I just pitied her! With a deep sense of guilt, I drafted a divorce agreement which stated that she could own our house, our car, and 30% stake of my company. She glanced at it and then tore it into pieces. The woman who had spent ten years of her life with me had become a stranger. I felt sorry for her wasted time, resources and energy but I could not take back what I had said for I loved Jane so dearly. Finally she cried loudly in front of me, which was what I had expected to see. To me her cry was actually a kind of release. The idea of divorce which had obsessed me for several weeks seemed to be firmer and clearer now. The next day, I came back home very late and found her writing something at the table. I didn’t have supper...

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...contributions to music in America by directing composers' groups, organized concerts of American music, lectured around the country, and wrote books and magazine articles. 87. One of Ginastera’s early works, Estancia Suite, is nationalistic and uses Argentinean folk material, including popular dances. 88. Composers began to shift from tonality to the twelve-tone system because they discovered it was a compositional technique rather than a special musical style. 89. Twelve-tone compositional techniques used to organize rhythm, dynamics, tone color, and other dimensions of music to produce totally controlled and organized music are called Serialism. 90. In chance, or aleatory music the composer Chooses pitches, tone colors, and rhythms by random methods. 91.An example of aleatoric music is John Cage 92.Minimalist music is characterized by A steady pulse, clear tonality, and insistent repetition of short melodic patterns. 93. Intervals smaller than the half step are called Microtones. 94.Around 1940, John Cage invented the prepared piano, a(n) grand piano whose sound is altered by objects such as bolts, screws, rubber bands, pieces of felt, paper, and plastic inserted between the strings of some of the keys. 95.Edgard Varèse's Poème électronique All answers are correct. designed for the 1958 Brussels World Fair; one of the earliest masterpieces of electronic music created in a tape studio; composed in collaboration with the famous architect Le Corbusier. 96.Ellen......

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...Introduction to Randomness and Random Numbers. Randomness and random numbers have traditionally been used for a variety of purposes, for example games such as dice games. With the advent of computers, people recognized the need for a means for a means of introducing randomness into a computer program. Surprising as it may seem, however, it is difficult to get a computer to do something by chance. A computer running a program follows its instructions blindly and is therefore completely predictable. Computer engineers chose to introduce randomness into computers in the form of pseudo-random number generators. As the name suggest, pseudo-numbers are not truly random. Rather, they are computed from a mathematical formula or simply taken from a pre-calculated list. A lot of research has gone into pseudo-random number theory and modern algorithms for random numbers have the characteristic that they are predictable, meaning they can be predicted if you know where in the sequence the first number is taken from. For some purposes, predictability, is a good characteristic, for others it is not., Random numbers are used for computer games but they are also used on a more serious scale for the generation of cryptographic keys are for some classes of scientific experiments. For scientific experiments, it is convenient that a series of random numbers can be replayed for use in several experiments, and pseudo-random numbers are well suited for this purpose. For cryptographic use,......

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...audits Trace Analysis: credit card records computer cookie records garbology - looking for traces of purchase patterns in garbage detecting store traffic patterns by observing the wear in the floor (long term) or the dirt on the floor (short term) exposure to advertisement. Thus it can be seen that as technology advances, observational menthods are becoming cheap as well as more useful. ans 8d EVPI- · In decision theory, the expected value of perfect information (EVPI) is the price that one would be willing to pay in order to gain access to perfect information. · The problem is modeled with a payoff matrix Rij in which the row index i describes a choice that must be made by the payer, while the column index j describes a random variable that the payer does not yet have knowledge of, that has probability pj of being in state j. If the payer is to choose i without knowing the value of j, the best choice is the one that maximizes the expected monetary value: where is the expected payoff for action i i.e. the expectation value, and is choosing the maximum of these expectations for all available actions. On the other hand, with perfect knowledge of j, the player may choose a value of i that optimizes the expectation for that specific j. Therefore, the expected value given perfect information is where is the probability that the system is in state j, and is the pay-off if one follows action i while the system is in state j. Here indicates the best choice......

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... Econometrics of Random Walk Hypothesis ABSTRACT The random walk hypothesis is a key instrument used in the analysis of forecasting in the economic and financial market. It is used primarily in the forecasting of the prices of stocks. This is useful to determine and forecast the prices of stocks given previous stock prices. This paper discusses the basis of the hypothesis, the two types of random walk hypothesis, its framework, methodologies and the analysis of its repercussions. INTRODUCTION The random walk hypothesis states that stock price changes have the same distribution and are independent of one another, so the past movement or trend of a stock price or of the market as a whole cannot be used to predict its future price or any possible future trends. The concept originated in the late 1800s from Jules Regnault, a French broker, and Louis Bachelier, a French mathematician, whose Ph.D. dissertation titled "The Theory of Speculation". The same ideas were later developed and studied further by Paul Cootner, an MIT Sloan School of Management professor, in his 1964 book The Random Character of Stock Market Prices. The term was popularized by the 1973 book, A Random Walk Down Wall Street, by Burton Malkiel, a professor of economics at Princeton University, and was used earlier in Eugene Fama's 1965 article "Random Walks In Stock Market Prices”. The theory that stock prices move randomly was earlier proposed by Maurice Kendall in his 1953 paper, “The Analytics of......

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...Simple Random Sampling is done when every individual subject in the population has an equal chance of being selected for the sample, without any bias (Explorable). For example, if a researcher wants to represent the population as a whole, they can pick random numbers or names out a hat or use a program to randomly choose names so the information is not biased. Stratified Sampling is performed by, dividing the population into at least two (or more) groups or sections, which share certain characteristics, called “strata” (Explorable). For example, a researcher who wants to compare the average economic status of different racial groups may use this technique in order to divide the population into groups based on race and ethnicities and then compare the whole average from each ethnic group. Cluster Sampling is done by dividing the population into separate sections or “clusters” and then picks a cluster randomly and chooses all the members from those clusters for the sample (Explorable). For example, using a geographical cluster, in order to look at the academic performance of students. The researcher can divide Nassau County in Long Island into clusters based on the towns. Then, randomly select a certain number of these clusters or towns and include all the students from those clusters to be part of the sample. Systematic Sampling is performed by, using and selecting a point at which to begin and then selecting every x number after that point (Explorable). For example,...

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...Türkçe * Українська * 中文 * More than 50,000 articles: * Bosanski * Български * Dansk * Eesti * Ελληνικά * English (simple) * Esperanto * Euskara * Galego * עברית * Hrvatski * Latviešu * Lietuvių * Norsk nynorsk * Slovenčina * Slovenščina * ไทย Complete list of Wikipedias ------------------------------------------------- Navigation menu * Create account * Log in * Main Page * Talk * Read * View source * View history ------------------------------------------------- Top of Form Bottom of Form * Main page * Contents * Featured content * Current events * Random article * Donate to Wikipedia * Wikipedia store Interaction * Help * About Wikipedia * Community portal * Recent changes * Contact page Tools * What links here * Related changes * Upload file * Special pages * Permanent link * Page information * Wikidata item Print/export * Create a book * Download as PDF * Printable version Languages * Simple English * العربية * Bahasa Indonesia * Bahasa Melayu * Bosanski * Български * Català * Čeština * Dansk * Deutsch * Eesti * Ελληνικά * Español * Esperanto * Euskara * فارسی * Français * Galego * 한국어 * עברית * Hrvatski * Italiano *......

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...accessibility does not affect its look or visual integrity. The logical structure tree, or tags tree containing the information used by assistive technology, is an underlying interpretation of structural elements found in the visual representation of a PDF document. One of the strengths of tagging is that the tags tree can be rearranged so the document is more readable to those who have difficulty accessing the visual document. Tags provide a mechanism for adding alt text to images and links, which makes it easier for readers to navigate and understand a document. Table headings can be identified so that people using assistive technology can relate information in a table to a column title instead of having information read to them randomly. For more information, see “Tagged PDF” on page 14. How To Guide ADOBE ACROBAT 6.0 2 Introduction How to use this guide This guide was created for users who are familiar with the different applications described. For more detail on each application and feature, please refer to the product user guides. The guide is organized by document type. For example, if you need information on converting Microsoft Office documents to accessible PDF documents, you can find this information in section two. The following table is an overview of the topics, tools and sections in this guide that contain information on making PDF documents accessible based on specific document types. To do this Use this tool Section Checking......

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...is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random. Life is Beautiful. Random Life Life is Random.......

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...When is Random Sampling not the best approach to sample selection? Provide an example A random sample is one in which every member of the population has an equal chance of being selected to be part of the sample. For example, you could obtain a random sample by having everyone in a population roll a die and choosing those people who roll a 6. In contrast, the sample would not be random if you chose everyone taller than 6 feet, because not everyone would have an equal chance of being selected ( Bennett, Briggs, Triola, 2009). Example: Telephone Book Sampling If you want to conduct an opinion poll in which the population is all the residents in a town. Could you choose a random sample from selecting names from the local telephone book? A sample drawn from a telephone book is not a random sample of the town population because phone books are missing a lot of names, and anyone whose name is missing has no chance of being selected. The phone book will be missing names and if two or more people share the same phone number the listing could be under one name. The people who choose to have an unlisted phone number or who only use a cell phone do not have the same chance of being polled as the one whom are listed ( Bennett, Briggs, Triola, 2009) Bennett, J. O., Briggs, W. L., Triola, M. F., (2009). Statistical Reasoning for everyday life. (3rd ed.). Retrieved from University of Phoenix eBook. Angela Wilson...

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