1. Define Risk Risk is the potential of losing something of value. Values (such as physical health‚ social status‚ emotional well being or financial wealth) can be gained or lost when taking risk resulting from a given action‚ activity and/or inaction‚ foreseen or unforeseen. Risk can also be defined as the intentional interaction with uncertainty. Risk perception is the subjective judgment people make about the severity and/or probability of a risk‚ and may vary person to person. Any human endeavor
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QUESTION 1 The managing partner for Westwood One Investment Managers Inc. gave a public seminar in which she discussed a number of issues‚ including investment risk analysis. In that seminar‚ she reminded people that the coefficient of variation can often be used as a measure of risk of an investment. To demonstrate her point of view‚ she used two hypothetical stocks as examples. She let x equal the change in assets for a $1‚000.00 investment in stock1 and y reflect the change in assets for a
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The use of statistics is research is noted in this chapter. It reveals that statistical procedure could be segregated into two section and they are descriptive and inferential. In analyzing both descriptive statistics does exactly what it says‚ it describes the set of data. The problem is presented and descriptive statistical basically describes what the data has to say about the same issue. However inferential statistics main goal is making predictions or inferences about a population from observations
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APPLICATION FOR STATISTICAL CONCEPTS IN THE WEIGHT VARIATION OF SAMPLES JOSE ROMUALDO D. VINARAO Institute of Chemistry‚ University of the Philippines‚ Diliman Quezon City Date Performed: July 4‚ 2013 Date Submitted: July 10‚ 2013 ------------------------------------------------- METHODOLOGY In a gravimetric analysis‚ the determination is carried out by converting the analyte into an insoluble substance which is isolated and weighed1. In this experiment we used precipitation gravimetry
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An executive summary for managers and executive readers can be found at the end of this article Advances in the internal marketing concept: definition‚ synthesis and extension Mohammed Rafiq Lecturer in Retailing and Marketing‚ The Business School‚ Loughborough University‚ Loughborough‚ UK Pervaiz K. Ahmed Unilever Lecturer in Innovation Management‚ University of Bradford Management Centre‚ Bradford‚ UK Keywords Services marketing‚ Internal marketing‚ Customer orientation‚ Service quality
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Today many conflicts are fought over the concept of “justice”‚ but defining what the concept really is can be very difficult. According to the “Merriam-Webster” dictionary justice is “the quality of being just‚ impartial‚ or fair.” Within that definition there are things that must be taken into consideration like moral codes‚ religion and the set of beliefs a person is raised on‚ all of these things differentiate for each person. In the constitution’s preamble it is stated that to form a “more perfect
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of documents as we crawl the web. Page 1 June 2001 version Paper to be presented at IUSSP Conference in Brazil/session-s09 Population Growth and Global Carbon Dioxide Emissions Anqing Shi Development Research Group The World Bank Keywords: Population‚ global warming‚ Carbon Dioxide Emissions‚ projections Abstract: Previous studies on the determinants of carbon dioxide emissions have primarily focused on the role of affluence. The impact of population growth on carbon dioxide emissions has
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random sampling‚ requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen‚ the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling‚ stratified random sampling‚ cluster
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observed samples have the same variance. (1) Note that three of the most important distributions (namely the normal distribution‚ the t distribution‚ and the chi-square distribution) may be seen as special cases of the F distribution: (3) Example: We want to measure the monthly sales volume from Microsoft and Apple. We collect data for a year ( 12 months). We calculate the variance for both and define the “degrees of freedom’ (n-1= 11) and then we can build the F-distribution. F statistic ():
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Change - 1 Explain the scales of measurement in details ‚ giving examples: Data has been classified into four scales of measurement so that it can be easily interpreted universally. The scale is chosen depending on the information that the data is intending to represent. The four scales of measurement of data are nominal‚ ordinal‚ interval‚ and ratio. Each plays a different‚ yet very important role in the world of statistic a) Nominal scale Is the lowest level in scales of measurement
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