...Quantitative Literacy Quantitative Problem Solving QLT Task 5 Michelle Brewer January 20, 2013 Task A Misty is going to start college in the fall. Her father has agreed to pay her tuition and board but she must cover all other expenses, including supplies and books. Misty has been working a summer job to save money for these expenses and is hoping to be thrifty enough in her purchases to not have to work during her first semester of college. She is anticipating a large expense on books but is hoping to save some money on purchasing school supplies by looking at discount retailers instead of the college bookstore. Misty has found two companies, Company A and Company B, with some great back to school deals on school supplies. Company A is offering ten percent off each dollar spent on school supplies with no minimum purchase required. While that sounds like a great deal, Company B is offering twenty-five percent off all school supplies purchased after spending an initial one hundred dollars. While both options offer a great discount, Misty wants to determine which would save her the most money. Before moving any further, Misty must determine what her total bill for school supplies might be by identifying the items she will need to purchase and then totaling the final cost. Once that has been ascertained, she will need to calculate the possible savings on each plan to determine which one will be most cost effective. Task B In order to calculate the...
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...1: Quantitative methods of business in Sociology research Abstract: The determination of this issue is to familiarize to you the essential features of scientific exploration which enable us to engender a thoughtful of the business world. The topic begins with a short-lived incursion into standards which provide us with a distinct set of lens through which we indicate to view social miracles around us. Next we sharpen the discrepancy between the two major paradigms – reckonable and qualitative approaches – while at the same time admitting that there are perhaps more alterations within each paradigm than there are between them. In other words, they are not polar inverses. In fact elements of both paradigms can be combined to bring about a diverse methods method to business research. Philosophies are the main head to scientific investigation and we will consider their configuration in terms of essential concepts, constructs and variables and how these are correlated to proposals. Finally, we take a look at the framing of inquiry hypotheses and the ways in which that progression differs from producing research questions. Scale of data measurement: Glaser and Strauss’s unique conceptualization of beached theory has undergone some changes. While numerous disparities of the innovative idea exist, as Charmaz notes, they all have the following apparatuses in mutual: (a) Immediate data collection and scrutiny; (b) search of growing themes through early data analysis, (c) discovery of...
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...Statistics in my Job As a nutrition education program assistant it is beneficial to measure how clients improve their diets. When a new client is enrolled into a class we administer a survey to see what he/she has eaten over the last twenty-four hours, food spending on a budget, and food safety. After a series of eight lessons the exact same survey is given to the client again to see how he/she has improved his/her diet, food spending on a budget, and food safety. In a class of 35 how many clients showed improvements in his/her diet at the end of the eight weeks? It is quatitative. Quatitative is anything that can be expressed as a number. With my scenario I need to know how many clients improved their diet during the eight weeks. Measurement level refers to the relationship among the values that are assigned to the attributes for a variable. The value of alpha is associated to the confidence level of the statistic problem. If alpha is not given use .05% Confidence levels refer to the percentage of all possible samples that can be expected to include the true population parameter. If the confidence level is not given use 95% The mean is the average of all numbers. To calculate mean, add together all of the numbers in a set and then divide the sum by the total count of numbers. Confidence intervals estimate population parameters, such as the population mean, by using a statistic, plus, or minus, a margin of error. To compute the margin of error for a confidence...
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...Issue or Debate | Definition | Strengths | Weaknesses | Free Will vs Determinism | The determinist view beileves that all behaviour is determined and therefore predictable. Whereas the free will view believes that people have the power to make their own choices, there fore making behaviour self determined. | Determinism - A deterministic approach is more scientific. It isolates a variable and tries to examine this scientifically therefore increasing validity - Knowing what factors determine a particular behaviour can be extremely useful with practical applications such as genetic malification | Determinism - Determinist views discount individual differences- It is possible to chose some of our behaviours as we choose to respond in a certain way | Reductionism vs Holism | Reductionism is the belief that behaviour can be explain buy splitting and sectioning behaviours, sometimes over simplifying the human brain. Holism on the over hand accepts behaviour can be explained through the use of combinations of psychological aprroaches and debates | Reductionist- By focusing on one thing we can clearly see a cause and effect - It is possible to build up an increasingly complete explanation of psychological phenomena | Reductionist - It is possible to miss out other factors decreasing validity - Reductionist approach is invariably linked with the experimental method which frequently lacks ecological validity. | Nature vs Nurture | This debate is concerned with finding whether...
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...UNIVERSIDAD INTERAMERICANA DE PUERTO RICO RECINTO DE ARECIBO Departamento de ADMINISTRACIÓN DE EMPRESAS PROGRAMA DE MAESTRÍA EN ADMINISTRACIÓN DE EMPRESAS Prontuario I. INFORMACIÓN GENERAL Título del Curso : Métodos Cuantitativos para la Toma de Decisiones Código y Número : BADM 5010 Créditos : 3 Término Académico : Marzo-Junio 2016 Profesor : Reneé Ortiz Ramos, DBA Horas de Oficina : Martes de 2:30 a 4:30 p.m. Miércoles y jueves de 8 a 10 a.m. Teléfono de la Oficina : Correo Electrónico : rortiz@arecibo.inter.edu II. Descripción Estudio de los métodos cuantitativos para la toma de decisiones, en particular la aplicación de modelos matemáticos y estadísticos en el análisis de problemas relacionados con las ciencias económicas y administrativas. Los temas principales incluyen: probabilidad y análisis para la toma de decisiones, teoría de juegos, análisis bajo condiciones de incertidumbre y análisis de redes. Se incluyen simulaciones. III. Objetivos Se espera que al finalizar el curso, el estudiante pueda: 1. Integrar las técnicas cuantitativas aprendidas para tomar decisiones dentro de la organización. 2. Explicar las decisiones basadas en elementos cuantitativos. IV. Contenido temático A. El acercamiento al análisis cuantitativo 1. Definición del problema 2. Desarrollo del modelo 3. Obtención...
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...Tell when to use a Pearson’s correlation, the possible research hypotheses for this statistical model, and when correlation can be used to test each type of Research Hypothesis (attributive, associative and causal). 1. A Pearson's correlation is used when you want to find a linear relationship between two variables. It can be used in a causal as well as a associativeresearch hypothesis but it can't be used with a attributive RH because it is univariate. 2. Pearson's correlation should be used only when there is a linear relationship between variables. It can be a positive or negative relationship, as long as it is significant. Correlation is used for testing in Within Groups studies. A possible research hypothesis for this statistical model would be that there is a positive linear relationship between variables. Another possible research hypothesis would be that there is a negative linear relationship. If there is no linear relationship between the variables, then we would retain the null hypothesis. 3. Pearson's correlation should be used when there is a significant effect. (p > .05) When there is a relationship between two variables. There can be a positive or negative correlation. It cannot be used when we retain the null hypothesis because then there is no relationship. It can be used if the null is rejected. 4. A Pearson's correlation is used when two quantitative variables are being tested in the RH. This cannot test attributive RH, but can associative and causal. The...
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...(iv) Your country is in a recession. You feel that a policy of exchange rate depreciation will stimulate aggregate demand and bring the country out of the recession. This essay examines the effectiveness of using exchange rate depreciation to stimulate aggregate demand in order to bring a fictional country, Australand, out of recession. It will explain how a policy of exchange rate depreciation can increase aggregate demand and how this will stimulate economic activity and bring Australand out of recession. The process of depreciating the currency will be explained as well as possible ramifications of this policy. Alternative options to increase aggregate demand will also be explored. A recession is technically when an economy has experienced two successive quarters of negative gross domestic product (GDP) growth. For this to happen the total amount of goods and services produced by a country must contract on a quarter by quarter basis for six months or more. (http://news.bbc.co.uk/2/hi/business/7495340.stm) It therefore stands to reason that by increasing the total amount of goods and services Australand produces, known as aggregate output, will bring Australand out of recession. Blanchard and Sheen (2009 p39) state that in the short run the main determinent of aggregate output is demand and that changes in demand can lead to an increase in output. Aggregate demand is the total quantity demanded for output at a given price level and it is therefore necessary to...
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...EDUCATIONAL PSYCHOLOGY: A DEFINITION AND KEY CONCEPTS It seems too simple to say that educational psychology is the psychology of learning and teaching, and yet a majority of educational psychologists spend their time studying ways to describe and improve learning and teaching. After reviewing the historical literature in educational psychology, Glover and Ronning (1987, p. 14) suggested that educational psychology includes topics that span human development, individual differences, measurement, learning, and motivation and is both a data-driven and a theory-driven discipline. Thus, our definition of educational psychology is the application of psychology and psychological methods to the study of development, learning, motivation, instruction, assessment, and related issues that influence the interaction of teaching and learning. This definition is broad because the potential applications of educational psychology to the learning process are immense! Today educational psychology is a vital discipline that is contributing to the education of teachers and learners. For example, Jerome Bruner, an enduring figure in educational psychology, recently noted the need to rethink our ideas of development, teaching, and learning and the interactions among them. Specifically, Bruner (1996) urged educators and psychologists to see children as thinkers, and stated: No less than the adult, the child is thought of as holding more or less coherent "theories" not only about the world but about...
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...ACKNOWLEDGEMENTS This thesis could not have been completed without the help and support from a number of people. First and foremost, I would like to express my sincere gratitude to Mrs. Hoang Tuyet Minh, my supervisor, who has patiently and constantly supported me through the stages of the study, and whose stimulating ideas, expertise, and suggestions have inspired me greatly through my growth as an academic researcher. A special word of thanks goes to other teachers of the Faculty of English at Hanoi Open University for their ideas, support, encouragement and help in supplying materials and their valuable suggestion for me to have this thesis accomplished. Thanks for encouraging of the students in Group of English language courses K2 to help me overcome difficulties to complete this thesis. Last but not least, I am greatly indebted to my family for the sacrifice they have devoted to the fulfillment of this academic work. This thesis cannot avoid limitation, so I wish to receive comments and opinions to make it better. Contents 1, Outline 3 2, Scientific notice 5 3, Article 6 4, Scientific report 10 5, Assignment 23 How to use body-language for second year major English students at Hanoi Open University effectively TABLE OF CONTENTS | | ...
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...National Institute of Securities Markets Assessment of Long Term Performance of Credit Rating Agencies in India July 2009 5th Floor, Plot No.82, Sector 17, Vashi, Navi Mumbai 400 705 1 Contents Terms of Reference Executive Summary Acknowledgements CRAs: Relevance and Perspective Raters and Ratings: Evolution and the Current State of the Art Critical Evaluation of Ratings Rating Transition and Default Study Emerging Trends and Alternate Approaches Conclusions and Recommendations References Annexure Sample Questionnaire 3 4 14 15 21 32 43 58 63 74 78 2 Terms of Reference This Study has been commissioned by NISM as desired by the Committee on Comprehensive Regulation of CRA’s in India, to look into the legal and policy framework for regulating the activities of Credit Rating Agencies (CRAs), vide letter bearing Reference No. F.No.12/11/07-PM, dated 16.1.2009. The Terms of Reference are listed as under: 1. Assessment of the performance of CRAs in India in terms of parameters like default and transition data 2. How much information asymmetry is bridged by CRAs 3. How far CRAs assessment helps financial regulation 4. Accountability, corporate governance issues of CRAs 5. Disclosures of methodologies of rating 6. Rating of complex products like structured obligation 7. Uniformity or otherwise in definition and rating nomenclature of CRAs in India 8. Consistency of rating data with accounting data 9. Overall evaluation of what CRAs have done in terms of value...
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...UNIVERSITY OF NAIROBI COLLEGE OF EDUCATION AND EXTERNAL STUDIES SCHOOL OF CONTINUING AND DISTANCE EDUCATION DEPARTMENT OF EXTRA-MURAL STUDIES. In collaboration with CENTRE FOR OPEN AND DISTANCE LEARNING MASTER IN PROJECT PLANNING AND MANAGEMENT COURSE: LDP 603: RESEARCH METHODS Authored by: Dr. Christopher Mwangi Gakuu Senior Lecturer, Department of ExtraMural studies, University of Nairobi & Dr. Harriet Jepchumba Kidombo Senior Lecturer, Department of Educational Studies University of Nairobi Page 1 of 240 GENERAL INTRODUCTION TO THE COURSE MODULE The Research Methods course is one of the first semester core courses for those learners pursuing the Master in Project Planning and Management course. You are aware that any good decision is based on facts. Facts are based on data. The data must be systematically collected, processed, analysed and presented for use. The best-known way of collecting empirical data is through scientific research methods. This is what this course module is all about. The main aims of this course unit is to: 1. Providing you with the basic information needed to understand the research process. 2. Enable you to use the knowledge to design their own research agenda on an area of personal interest or that of an organization. MODULE STRUCTURE The module is covered in Lectures. Each Lecture focuses on area in research. You will note that in each unit, there is an introduction, unit objectives, contents presented...
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