0Jan 15th Paradigm -What is paradigm? -Thomas Kuhn: “the structure of scientific revolution (1962) -he was interested in two things. He redefined the word “paradigm” to use in science -These paradigms I take to be universally recognized scientific achievements that for a time provide model problems and solutions to a community of practitioners. -Provide models (in law, theory, instrumentation, application) from which spring particular coherent
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to advise the management on the most appropriate course of action based on the cost efficiency and capability. Cost accounting provides the detailed cost information that management needs to control current operations and plan for the future. COST VS. FINANCIAL ACCOUNTINGFinancial accounting aims at finding out results of accounting year in the form of Profit and Loss Account and Balance Sheet while Cost accounting aims at computing cost of production/service in a scientific manner and facilitate
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then reported that the Japanese government signed the Plaza Accord in 1985, (which sought to weaken the major foreign currencies against the yen to encourage foreign capital investments for Japanese companies). The yen rose from (240 vs. US dollar) in 1985 to (80 vs. US dollar) in 1995. As a result, price of Japanese exports increases. Sundar, A (2013) elaborated that to cope with this rapid rise in yen, Japan’s monetary authorities began flooding the
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thought that are added to Erikson theory. A. Development theory of Erik Erikson 1. Development theory of Trust vs. Mistrust Start form ages birth to one year. Erikson defined trust as an essential trustfulness of others as a fundamental sense of one’s own of truth worthiness. A child that shows mistrust so frustrated, withdrawn, and even lacks self-confidence. 2. Autonomy vs. Shame & Doubt This start in children of age two to three. During that period, it is important that parents create
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Statistics & Quantitative system For Business Pre MBA-Course Dr. Nourredine Khababa 1 1 Business School Lecture 1 Topic 1 The Where, Why, and How of Data Collection 2 Chapter Goals After completing this chapter, you should be able to: Describe key data collection methods Know key definitions: Population vs. Sample Qualitative vs. Qualitative data Primary vs. Secondary data types Time Series vs. Cross-Sectional data Explain the difference between descriptive
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contract will require more laundry and linen, utilities and amenities - recommendations Introduction - need to include some background of the company - what will the report cover quantitative analysis of the incremental revenue, incremental costs including opportunity costs to the hotel qualitative analysis of the Alitalia contract other factors to consider when making a decision whether to move ahead or not and lastly, recommended actions Alitalia - who are they? airline
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test statistic) Components of ANOVA: Factor – independent variable. We want this variable to be qualitative. Classifications of the factor is called the treatments. (ex. Color of the light vs. response variable ie height of the plant. Light is qualitative, treatments are the kinds of lights such ash red, white, violet, green. In anova, the response variable must be quantitative. If not quantitative, then go back to chi square test) When we design an experiment, the factors are controlled by you
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Remember when planning your science experiment, formulating your specific testable question, and laying out variables (as in section A3 of the task), you must have quantitative data (data in numbers) as opposed to qualitative/descriptive/subjective data. For this task, your dependent variable (what you measure) must be quantitative (numeric) in nature. NOTE: If you choose to do a life science experiment involving an organism (living thing), the experiment must not involve any vertebrate organism;
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Understanding Business Research Terms and Concepts: Part 2 Rodney Goudy RES/351 July 6, 2015 Tracy Sipma Descriptive statistics Descriptive statistics suggests a straightforward quantitative outline of a data-set which has been gathered. It helps us comprehend the experimentation or data-set in-detail and tells people concerning the mandatory details that help show the data perceptively. Descriptive statistics, we just convey exactly what the data reveals and tell us. Most of the statistical
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Understanding Business Research Terms and Concepts: Part 2 Ming D. Lee RES/351 April 18, 2016 Dr. Linda F Florence Understanding Business Research Terms and Concepts: Part 2 Descriptive statistics Descriptive statistics suggests a straightforward quantitative outline of a data-set which has been gathered. It helps us comprehend the experimentation or data-set in-detail and tells people concerning the mandatory details that help show the data perceptively. Descriptive statistics, we just convey exactly
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