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Thanks for the help. The process is correct. For part b for those who are slightly confused. 1 ) Interest Payment = (Remaining Loan Balance) * (Interest Rate in decimal form) 2) Principle Payment = (Capital Recovery Factor [answer from part A]) - (Interest Payment) 3) Remaining Loan Balance = (Remaining Loan balance) - (Principle Payment) .

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The average nominal incomes earned in Eturia and the CPI are shown in.docx

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The assumptions of mainstream market economics are: The individual is the unit of analysis. This is one of the assumptions of mainstream economic theory formally called methodological individuals. Human beings' actions are guided by self-interest. Human beings' actions are guided by altruistic care for others. Human beings are utility-maximizers. This is the way economics understand rationality, i.e greatest benefits at the least cost. .

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The analysis and redesign of workilow The management of information flows between and among activities in a supply within and between enterprises. chain to maximize total supply chain effectiveness and corporate profitability. A means of managing all aspects of a customer's relationship with an organization to increase customer loyalty and retention and an organization's Integrates all departments and functions profitability. throughout an organization into a single MIS system (or integrated set of MIS systems) so employees can make decisions by viewing enterprisewide information about all business operations. .

The analysis and redesign of workilow The management of information fl.docx

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The age distribution of students at a community college is given below.docx

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The additional growth of plants in one week are recorded for 11 plants.docx

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T2- Propose code for a pseudorandom number generator function in CH+ a.docx

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Telling geological time using fossils You are becoming a very good palcontologist now! Let's see if you can find a good group of animal fossils to use to tell time, the same way paleontologists do. (Technically, we name these useful fossils index fossils because they indicate a particular geological age.) 19. What animal grotp(s) were most diverse during the early Paleozoic Era (such as during the Cambrian, Ordovician, and Silurian Periods)? 20. What animal group(s) were most diverse during the late Paleozoic Era (such as during the Carboniferous and Permian Periods)? 21. What animal group(s) were most diverse during the Mesozoic Era? 22. What animal group(s) were most diverse during the Cenozoic Era? 23. What animal groups went extinct during the Late Permian mass extinction? 24. What animal groups went extinct during the Late Cretaceous mass extinction? 25. What geological era and period would you most want to visit if you had a time machine? Why? 26. Why are mass extinctions important events in the history of life? (Consider whether mass extinctions affect just a single kind of life or many kinds. Consider whether they affect just life on land or also life in the oceans. Although extinction is relatively common in earth history, mass extinction are rare; are they more important than other kinds of extinctions?) .

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Technology and economic growth- 192) What is technological progress- G.docx

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TABLE 3. Summary of univariable logistic regression analysis of continuous and binary variabies The odds of spinal shock were significantly increased when age was accounted for due to the p-value of 0.42 . The odds of spinal shock were not significantly increased when age was accounted for due to the p -value of 0.42 . The confidence interval of age was significantly increased when age was accounted for. .

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TABLE 2- Frequencies of various skin pigmentation alleles in different.docx

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Susan Jaymes is a professor at a mid-sized regional university. Dr. Jaymes has always been popular with the students, who frequently cite her enthusiastic style, hands-on approach, and excellent knowledge base as reasons for taking her class. Her popularity is even further boosted by teaching evaluation scores, which are gathered by the student council and published at the start of each semester. These same scores are also factored into all professors' yearly performance appraisals, and as appropriate, merit increases. Lately, merit increases have become smaller, and the bar that seems to matter most in determining raises has become higher. In response to this, Dr. Jaymes has taken steps to ensure that her teaching evaluations are as high as possible. First, knowing that only the most serious students will attend, she hands out the evaluation during an optional exam review session. Second, she brings snacks and drinks to the session (something she never does during normally scheduled class sessions). Finally, after handing out the forms and before leaving the classroom, she reminds the students "how much your input counts on my remaining employed with the university and how important getting a raise - albeit tiny - is for me to be able to pay my huge monthly student loan payments, considering how little faculty here are paid." Questions 1. Discuss how Dr. Jaymes is using persuasion to facilitate her goal. What methods or theories are being used? 2. Do you think these methods will be effective? Why or why not? 3. Do you think Dr. Jaymes' approach is ethical? Explain. 4. If you were her boss, in other words, the department chair, and you found out what she was doing, what, if anything, would you do and why? 5. If you were a student thinking of taking Dr. Jaymes' class and a former student of hers told you about her practices, in what way would this information affect your decision? .

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Table 4 Mineral element content in blood Different capital letters of peers indicate significant differences between different months, P < 0.05 ; different small letters of peers indicate significant differences between affected and healthy sheep, P < 0.05 Cu copper, Mr manganese, Co cobalt, Fe iron, Mo molybdenum, Zn zinc, S sulfur Nas there a significant difference in Copper (Cu) between affected sheep in June and November? No Yes .

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Task 1 Suppose the association between A entity set and B entity set i.docx

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Suppose the USD-EUR is EUR1-25-USD- How many USD can you buy for EUR1.docx

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The electronic spectra of 1 st row transition metal complexes can arise from several different types of transition. Describe these transitions with relevant examples. Solution Electronic absorption spectrum is of two types. d-d spectrum and charge transfer spectrum. d-d spectrum deals with the electronic transitions within the d-orbitals. In the charge â€“transfer spectrum, electronictransitions occur from metal to ligand or vice-versa. A charge-transfer complex ( CT complex ) or electron-donor-acceptor complex is an association of two or more molecules, or of different parts of one large molecule, in which a fraction of electronic charge is transferred between the molecular entities. The resulting electrostatic attraction provides a stabilizing force for the molecular complex. The source molecule from which the charge is transferred is called the electron donor and the receiving species is called the electron acceptor. The nature of the attraction in a charge-transfer complex is not a stable chemical bond, and is thus much weaker than covalent forces. Many such complexes can undergo an electronic transition into an excited electronic state. The excitation energy of this transition occurs very frequently in the visible region of the electromagnetic spectrum, which produces the characteristic intense color for these complexes. These optical absorption bands are often referred to as charge-transfer bands (CT bands). Optical spectroscopy is a powerful technique to characterize charge-transfer bands. Charge-transfer complexes exist in many types of molecules, inorganic as well as organic, and in solids, liquids, and solutions. A well-known example is the complex formed by iodine when combined with starch, which exhibits an intense blue charge-transfer band.eg kno4 d-d transition occurs in d orbitals of the transition metals, but it not occurs in all d orbitals, it occurs only in asymmetric d orbital that means it occurs only in thode orbitals which have diffrent energy levels. Initially all d orbitals have same energy but due to vibrations, the degenracy of d orbitals split out, and some orbital move towards higher energy level, and some are towards lower energy level. When we provide energy to these orbital then the electrons of lower energy level, get excited and move towards higher level or vice versa, such type of transitions are called d-d transition. And it is responsible for color in some transition elements.eg- [Fe(CN)6]3- .

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The delineation principle A functional specification is not necessarily a specification to build something new. It can be used to delineate the existing functions whose attributes are to be impacted by planned changes at planned points in time. Please explain and provide your rationale. Solution ANS : The functional specification (FS for short, aka software requirements specification, system specification, product specification. Definition : A Functional Specification of a (computer) system describes the externally-visible behaviour of that system. A system as a black box. The black box has two interesting features: 1.Interfaces, through which external entities can interact with the system via a series of inputs and outputs. There are two types of external entities â€“ humans and other systems (also collectively referred to as actors of the system), and we need to worry about them both. 2.State, which changes as a result of interactions with the actors. Think of this as the systemâ€™s memory, in which it remembers (or stores) data â€“ usually implemented as a database. Here there is a Two Key Elements â€“ Functions and Data : 1.Functions â€“ a description of the interactions between the system and its (human and system) actors. 2.Data â€“ a description of the state of the system. Describing Functions : The functions of a system are the interactions that can occur between the system and its actors (through the interfaces). An interaction is a sequence of actor inputs (e.g. a user clicking a mouse button) and system outputs. Data : Hereâ€™s what detail I consider to be allowable for data: Entity name (so that it can be unambiguously referred to) Entity description (explaining what the entity actually is â€“ not always obvious) Attributes: Name Description (again, not always obvious) Type and allowable values, such as: Note that the above are logical, rather than physical, definitions. For example, a logical type of â€œMale, Female or Not Specifiedâ€ might be implemented as a NUMBER where 1=Male, 2=Female, 0=Not Specified, or it might be implemented as a nullable VARCHAR where â€œMâ€=Male, â€œFâ€=Female and NULL=Not Specified Not allowed: .

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The copy center at the college of business at Dwight University has become an increasingly contentious item among the college administrators. The department heads have complained to the associate dean about the long lines and waiting times for their secretaries at the copy center. They claim that it is a waste of scarce resources for the secretaries to stand in line talking when they could be doing more productive work in the office. Alternatively, Handford Burris, the associate dean, says the limited operating budget will not allow the college to purchase a new copier, or several copiers, to relieve the problem. This standoff has been going on for several years. To make her case for improved copying facilities, Lauren Moore, the department head for management science, assigned students a class project to gather some information about the copy center. The students were to record the arrivals at the center and the length of time it took to do a copy job once the secretary actually reached a copy machine. In addition, the students were to describe how the copy center system worked. When the students completed the project, they turned in a report to Professor Moore. The report described the copy center as containing two machines. When secretaries arrived for a copy job, they joined a queue, which looked more like milling around to the students. But they acknowledged that the secretaries knew when it was their turn, and, in effect, they formed a single queue for the first available copy machine. Also, because copy jobs are assigned tasks, secretaries always stayed to do the job, no matter how long the line was or how long they had to wait. They never left the queue. From the data the students gathered, Professor Moore is able to determine that secretaries arrive every 8 minutes for a copy job and that the arrival rate is Poisson distributed. Furthermore, she was able to determine that the average time it takes to complete a job is 12 minutes and that this is exponentially distributed. Using her own personnel records and some data from the university Solution . Departmental Responsibility . At the departmental level, the respon .

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