Tuesday, December 31, 2019

How Many Zeros Are in a Million, Billion, and Trillion

Have ever wondered how many zeroes are in a million? A billion? A trillion? Do you know how many zeros there are in a vigintillion? Someday you may need to know this for science or math class. Then again, you might just want to impress a friend or teacher.   Numbers Bigger Than a Trillion The  digit zero  plays an important role as you count very large numbers. It helps track these multiples of 10 because the larger the number is, the more zeroes are needed. In the table below, the first column lists the name of the number, the second provides the number of zeros that follow the initial digit, and the third tells you how many groups of three zeros you would need to write out each number. Name Number of Zeros Groups of (3) Zeros Ten 1 (10) Hundred 2 (100) Thousand 3 1 (1,000) Ten thousand 4 (10,000) Hundred thousand 5 (100,000) Million 6 2 (1,000,000) Billion 9 3 (1,000,000,000) Trillion 12 4 (1,000,000,000,000) Quadrillion 15 5 Quintillion 18 6 Sextillion 21 7 Septillion 24 8 Octillion 27 9 Nonillion 30 10 Decillion 33 11 Undecillion 36 12 Duodecillion 39 13 Tredecillion 42 14 Quatttuor-decillion 45 15 Quindecillion 48 16 Sexdecillion 51 17 Septen-decillion 54 18 Octodecillion 57 19 Novemdecillion 60 20 Vigintillion 63 21 Centillion 303 101 All of Those Zeroes A table like the one above can certainly be helpful in listing the names of all of the numbers depending on how many zeros they have. But it can be really mind-boggling to see just what some of those numbers look like. Below is a listing—including all the zeros—for the numbers up to decillion—a little more than just half the numbers listed in the above table. Ten: 10 (1 zero)Hundred: 100 (2 zeros)Thousand: 1000 (3 zeros)Ten thousand 10,000 (4 zeros)Hundred thousand 100,000 (5 zeros)Million 1,000,000 (6 zeros)Billion 1,000,000,000 (9 zeros)Trillion 1,000,000,000,000 (12 zeros)Quadrillion 1,000,000,000,000,000 (15 zeros)Quintillion 1,000,000,000,000,000,000 (18 zeros)Sextillion 1,000,000,000,000,000,000,000 (21 zeros)Septillion 1,000,000,000,000,000,000,000,000 (24 zeros)Octillion 1,000,000,000,000,000,000,000,000,000 (27 zeros)Nonillion 1,000,000,000,000,000,000,000,000,000,000 (30 zeros)Decillion 1,000,000,000,000,000,000,000,000,000,000,000 (33 zeros) Zeros Grouped in Sets of 3 Reference to sets of zeros is reserved for groupings of three zeros, meaning they are not relevant for smaller numbers. We write numbers with commas separating sets of three zeros so that its easier to read and understand the value. For example, you write one million as 1,000,000 rather than 1000000. As another example, its much easier to remember that a trillion is written with four sets of three zeros than it is to count out 12 separate zeroes. While you might think that that one is pretty simple, just wait until you have to count 27 zeros for an octillion or 303 zeros for a centillion. It is then that you will be thankful that you only have to remember nine and 101 sets of zeros, respectively. Numbers With Very Large Numbers of Zeros The number googol (termed by  Milton Sirotta) has 100 zeros after it. Heres what a googol looks like, including all of its required zeros: 10,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 Do you think that number is big? How about the googolplex, which is a one followed by a googol of zeros. The googolplex is so large it doesnt have any meaningful use yet—it is larger than the number of atoms in the universe. Million and Billion: Some Differences In the United States—as well as around the world in science and finance—a billion is 1,000 million, which is written as a one followed by nine zeros. This is also called the short scale. There is also a long scale, which is used in France and was previously used in the United Kingdom, in which a billion means one million million. According to this definition of a billion, the number is written with a one followed by 12 zeros. The short scale and long scale were described by French mathematician Genevieve Guitel in 1975.

Monday, December 23, 2019

Adolf Hitler a Leadership Analysis Essay - 2261 Words

Adolf Hitler BSM Portfolio Assignment This paper demonstrates Hodges University’s learning outcome of leadership. Kevin J. Van Dyk – Third Wheel Hodges University MNA4360 Leadership for Managers Professor Ron Harbour Due: November 7, 2012 Graded by BSM Instructor: __________________________ Grade Awarded: __________________________________ Introduction For the past seventy years, Adolf Hitler has been known as one of the most evil men in history. The Fueherer, as he was known, exhumed hatred and violence in his pursuit of power. A vile man, driven by violence and a lust for power, eventually drove himself mad with his own idealistic vision of what a perfect world would be, and how he would achieve†¦show more content†¦SWOT Analysis A SWOT analysis is an evaluation a company’s strengths, weaknesses, opportunities, and threats (Armstrong, 2010, p.77). A SWOT analysis is a useful tool in comparing a business, or in this case a character’s, traits to the situation and to other characters. A SWOT analysis for Adolf Hitler * Strengths * Passionate Speaker * Charismatic * Calculated * Gifted Actor and Politician * Weaknesses * Angry and full of rage * Defensive * Ego driven and selfish * He became convinced of his own infallibility (EGO) * Opportunities * Rose to power during a time of political unrest and indecisiveness in Germany * Master of surprise tactics: gauged the psychological effects * Threats * Anyone who interfered with his mission was an enemy of the people. * Intellectual and educated people. Hitler was a very passionate speaker that was incredibly adept to connecting to his audience in order to influence or persuade. The people he was speaking to would feel his passion. His charisma for speaking combined with the weak structure of Germany at the time made him influential beyond any other. He had the combined skills of an actor and a politician, â€Å"he could talk well and he had the actor’s gift of mimicry to amuse his companions. (Green, 2001, pg. 12), and everything he said and did had a calculatedShow MoreRelatedLeadership Is Not Changed Over The Course Of Time952 Words   |  4 PagesThe definition of leadership has not changed over the course of time. Through a compare and contrast method of analysis, one can glean the common traits of a leader from Shakespeare’s Macbeth, Thomas More’s Utopia, and Queen Elizabeth’s speech to the Spanish Armada. Leadership can be defined as a person who is able to relate to their subjects, accept their responsibilities as a leader, and has a following of supportive people. In Queen Elizabeth’s speech to her troops at Tilbury, she evinces herRead MoreWilliam Golding s Lord Of The Flies1389 Words   |  6 Pagespassengers as children ages 6 to 13. Boys to be exact. However hard to imagine, this scene is vividly brought to life in William Golding’s novel, Lord of the Flies. 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Sunday, December 15, 2019

The Industrial Giant Known as America Free Essays

Many factors led to America having a tremendous rise in industry. The five points that made the most impact were technology, mass distribution and production, education, railroads, management ideas and structure, and immigrant labor. These five points not only improved the existing industry, but they revolutionized how the American industry would be run for the next generation. We will write a custom essay sample on The Industrial Giant Known as America or any similar topic only for you Order Now As with any change in an existing system, there were a few problems, the main problems where with workers so management just replaced them with machines. Many people weren†t ready to make the adjustment from small town arming to big city living but the benefits far out-weighed any unusual situations, so the people and the nation when along with it. In the 1850†³s and on, most Americans were wondering about the benefit of a society dominated by cities, factories, and masses of wage earners. Along with cities and factories, pollution, and unhygienic situations was rising as well. Industrializing of the nation was wanted by many people but on the other hand, many people did not want to see the nation industrialize. The United States, at this point, mostly an agricultural society, nd most of the people lived on farms or in small towns, and had lots of open space to live in. These caused a slowing of the United States transforming into a industrial nation. Depression set and there was unrest in the work force. This began to change in the 1870†³s when the Populist Party gained a strong foothold. In 1897, the economic depression finally came to an end. In 1910, the United States firming planted itself as the world†s Probably the most important feature aiding the nation†s growth was technology. Two major inventions during this period were the invention of the gasoline-powered, nternal combustion engine and harnessing of electric power. Harnessing electrical power opened many doors for technological advancements. The cheaper and cleaner electrical power allowed for longer working days and easier working day for the laborers. Metal-working went right hand in hand with electric generators and related equipment. In 1878 the first gas engine was patented. This was responsible for the first production of the Model-T, the nations first automobile made by Henry Ford. Millions of people bought the Model-T, and that in turn called for millions of pounds of steel ,glass, rubber, etroleum, and other materials viable materials to be produced. This called for millions of jobs in coal and iron-ore mining, oil refinery, steel making, rubber manufacturing, machine tooling, and service stations. These and many other jobs led to corporations and new jobs Management of business is the next issue. The number of managers grew, as elaborate corporate hierarchies deformed both the tasks and status of individual managers. Day to day operations were replaced by middle managers, who oversaw a single department in corporate headquarters. This rapid expansion within corporate managerial ranks created a new middle class. They were loyal to their employers, but were at odds with both the blue-color workers, and with the older middle class of shopkeepers. Also small businessmen, an independent craftsmen were not too happy with the idea of this also. With all of this happening, there was a growing need to ship goods, which in turn led to a major need for the railroads. The next factor that helped the industrial growth was immigrant labor. Immigrant labor constituted about 70% of all the labor in the twentieth century. Immigrants built the nation†s tunnels and railroads , mined iron ore, coal and other minerals. They stoked the hot steel furnaces on the trains and in steel factories also. In the railroad industry was where the immigrants really made their mark. Immigrants worked long hours because really they were all of the early work force so they built much of the early railroad and were in on most of its matinence. Domestic markets were growing at such a enormous rate, manufacturers had to improve on mass-production. To speed up production, they needed to lower the cost of ll shipped items. This often meant that most workers were replaced by machines. Aside from an occasional matinence the machines worked cheaply. Also, manufacturers often found that distribution systems need to be revamped. This led to specialized sale forces, and on-going customer service. Duke who started a regional sales offices, made it so that his saleman could keep in touch with local retailers. This helped manufacturers tap into what the public wanted in turn keeping sales high. Duke also started national advertising which was a huge success. Duke was the father of advertisers of early industry. Many factors helped contribute to the growth of the nation†s industry. The five emphasized are the main factors that contributed the most to improvements in the industry. The improvements not only changed not only in increased revenue, but also in the way people lived their daily lives. The adjustment from small town, rural living and farming to big city living and urbanization led to some conflict of ideas among early workers. Other conflict of interest in business also surfaced as everyone wanted the get there hand in the money. How to cite The Industrial Giant Known as America, Essay examples

Saturday, December 7, 2019

Effectiveness of the Decision Support System-Samples for Students

Question: Discuss about the impact that the Decision Support System imparts on the performance. Answer: Introduction A Decision Support System (DSS) is interactive software that collects important raw data, organizes and analyses it such as to provide relevance to the decision makers such that their decision making capabilities are enhanced (Manzanares, 2014). It is meant to facilitate quality decision making by analyzing the business data. Thus, the decision support system poses impact on the decision made in an organization thus, affects the performance. Therefore it becomes a necessity to measure the perceived effectiveness of the decision support system, thereby, measuring the impact of the decision support system on the performance (Demirkan Delen, 2013). The paper highlights the effect of the decision support system by accessing the factors that serve to enhance the perceived effectiveness and the impact it imparts on the performance. The paper also states that according to various researches confirm that the success and failure of the information system depends entirely on the external envi ronment of the Information system. The research methodology used is simulation. A literature review is also provided and the finding as well as conclusion is also provided. Finally, the overall evaluation of the article regarding the effectiveness and credibility is also conducted. Introduction to the topic The article conducts a research on the perceived effectiveness of the Decision Support System. The article also focuses on the impact that the Decision Support System imparts on the performance. The Decision Support System is used immensely by the industries all around the world as they assist the decision makers by analyzing the raw business data and personal knowledge such as to solve various kinds of problems (Power, Sharda Burstein, 2015). Decision Support System is utilized to provide better decision such that the results obtained are more satisfactory. Moreover, the implementation of the decision support system leads to performance optimization (Keshtegar Vakili, 2018). The Decision Support System is computer based interactive software that store and analyzes the raw business data such that they would aid the decision makers of an organization to take decisions in such a manner that their performance is enhance and is optimized. The decision support system generally collects information regarding to the sales, revenue and the projections of sales of the new product (Accorsi, Manzini Maranesi, 2014). It also stores the information regarding the sales amount within selected time interval. Moreover, it also stores the inventory data and organizes it into relational database such that proper analysis of the data could be made. Literature review There exist numerous numbers of researchers that have researched on the Decision Support System and the Information system has implemented instruments that have the capability to measure the effectiveness of it different settings such as web based environment. Other study was made on group support system and the impact it lays on the performance. However, very few researches were made on the variables of the decision process such as the satisfaction, usefulness and the usage convenience (Jouini Dalla Pozz, 2014). Moreover, the past studies were more concerned and focused on the achievement of the goals and the process of attaining it rather than considering the decision variables impact on performance. The prime focus of the article is to bring to light the perceived effectiveness of the decision variables such as performance, satisfaction (Piltan Sowlati, 2016). It research is conducted to investigate on the factors the effectiveness of the Decision Support System. However, the re search does not evaluate the extent of the effectiveness of the decision variables on the performance and satisfaction. It only compares the decision variables with the complexity of the system. However, the usage of spreadsheet was seen by a few companies as it was more effective and offers various advantages as people are generally familiar with the Microsoft excel. Research Methodology The research methodology used was simulation to conduct the research. The simulation method allows the members to gain understanding of new things by performing it in a real world scenario such that the environment is authentic. Simulation aids the participants to acquire managerial skills, data identification skills as well as critical thinking skills. It also helps the participants to develop managerial skills through adoption of executive viewpoint by working in an authentic environment (Bharati Chaudhury, 2015). The research methodology incorporated 8 teams that were created without the consent of the researchers. The team operated in a real world marketing scenario. The methodology consisted of 8 runs of simulation with different groups of participating teams where the participants played six simulation periods comprising a year time. Furthermore, the companies were instructed to take certain decisions that would affect the current and upcoming operations. Each week after the simulation run the decisions were taken and email was sent to the instructor to feed the data in the computer program (Berner La Lande, 2016). On the basis of data the program analyzed the data and sent the output to the team, with the help of which the team would take vital decisions in the subsequent periods. However, the success parameter of the decision was measured by the performance of the system. Findings The results of the research were then obtained that validated some hypothesis and rejected some as they did not correspond to the effectiveness of the decision variables. Most of the companies adopted a Chief Information Officer (CIO). However, there were no reports of major modifications implemented and they implemented the Microsoft Excel spreadsheet as their system for the Decision support system. Different companies adopted different data analysis tools while only a few companies adopted the package provided. Moreover, the hypothesis considering the impact of familiarization with the system, its usefulness, personal use, user satisfaction, participation and the overall effectiveness of the system were also evaluated. The results of the research were as; the system is strongly dependent on the overall systems effectiveness regarding the success of the entire company and also meets the user expectations (Qrunfleh Tarafdar, 2014). However, the hypothesis of the usage of the system either by own or colleague, familiarity with the system as well as defining the system does not have any impact on the perceived effectiveness of the DSS. On the other hand, the performance of the company depends strongly on the user satisfaction, usefulness and DSS meeting its expectations (Shibl, Lawley Debuse, 2013). Moreover, satisfaction and enhancement in performance are directly proportional. The investment of a greater number of people does not guarantee increment in the performance. In consideration to the third hypothesis, that compared the performance with the complexity of the system, following results were obtained, the company with least complexity showed below average performance as the user satisfaction was low (Scott et al., 2015). The company with moderate complexity had the highest level of performance and thereby, the highest value of perceived effectiveness (Rasmussen, Standal Laumann, 2015). Moreover, the multifaceted system showed close relevance to the moderately complex system. The performance effectiveness and the complexity of the system represent an inverted U- shaped curve as complexity increases. Implication for management practices The article proposed various implications for the management practices. It clearly showed that user satisfaction is the main criteria for enhancement of the performance. It also started that the increased number of human resources does not necessarily guarantee the enhancement in performance (perka, 2015). The article helps the managers to take effective decisions such that the performance is enhanced and effective management of the information system is possible. Moreover, the proper analyzation of the data help gain profits to the organization as better decisions could be made through it. Overall evaluation of the article The article was based on the perceived effectiveness of decision support system and its impact on the performance of the organization. It also provides a clear understanding of the term Decision Support System and its advantages. The article was extremely efficient in discussing the variables of the decision support system. It also clearly described the simulation term with the procedure. The research methodology also provided the participants to learn by doing things in an authentic scenario which forced them to work with an executive outlook. Moreover, the literature review was properly conducted which proved that no previous research evaluated the impact of decision variables on the performance (Yu, Duan Cao, 2013). The hypothesis was properly analyzed according to the results obtained. The article effectively analyzed the hypothesis and provided the results accordingly. Moreover, the paper clearly mentions that simulation is highly complex thus, cannot totally engross all the va ried aspects of Information System. Moreover, the authentic environment involved reports that were self made and uncertainty lies as to whether the same would reflect in the real world scenario. Conclusion Thus, with the above discussion it can be concluded that there are various decision variables that poses significant impact on the performance of the organization. There are various decision variables such as usefulness and user satisfaction that leads to the increment in performance of the organization. The research conducted provided results that were compared with the hypothesis and a strong dependency was found in the moderate complex system and the enhancement of the performance. References Accorsi, R., Manzini, R., Maranesi, F. (2014). A decision-support system for the design and management of warehousing systems.Computers in Industry,65(1), 175-186. Berner, E. S., La Lande, T. J. (2016). Overview of clinical decision support systems. InClinical decision support systems(pp. 1-17). Springer, Cham. Bharati, P., Chaudhury, A. (2015). Product customization on the web: an empirical study of factors impacting choiceboard user satisfaction. Demirkan, H., Delen, D. (2013). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud.Decision Support Systems,55(1), 412-421. Jouini, N., Dalla Pozza, I. (2014). Introducing a Relationship Marketing perspective in the measurement of Online Community sucess.Ipag. Fr. Keshtegar, A., Vakili, N. (2018). Comparison of Management Information System (MIS) and Decision Support System (DSS) and its role in the decision-making process of managers of Economic Affairs and Finance of Zahedan.International Review of Management and Marketing,8(1), 93-97. Manzanares, T. (2014).Factors influencing the selection of Decision Support Systems for emergency management: An analysis of empirical use and user preferences(Doctoral dissertation, Rensselaer Polytechnic Institute). Piltan, M., Sowlati, T. (2016). A multi-criteria decision support model for evaluating the performance of partnerships.Expert Systems with Applications,45, 373-384. Power, D. J., Sharda, R., Burstein, F. (2015).Decision support systems. John Wiley Sons, Ltd. Qrunfleh, S., Tarafdar, M. (2014). Supply chain information systems strategy: Impacts on supply chain performance and firm performance.International Journal of Production Economics,147, 340-350. Rasmussen, M., Standal, M. I., Laumann, K. (2015). Task complexity as a performance shaping factor: a review and recommendations in standardized plant analysis risk-human reliability analysis (SPAR-H) adaption.Safety science,76, 228-238. Scott, J., Ho, W., Dey, P. K., Talluri, S. (2015). A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments.International Journal of Production Economics,166, 226-237. Shibl, R., Lawley, M., Debuse, J. (2013). Factors influencing decision support system acceptance.Decision Support Systems,54(2), 953-961. perka, R. (2015). BUSINESS PROCESS MANAGEMENT SOFTWARE APPLICATION FOR ENHANCING COMPANIESKEY PERFORMANCE INDICATORS: EDUCATION APPROACH. Yu, Y., Duan, W., Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach.Decision Support Systems,55(4), 919-926.