CASE STUDY: 1 The bulbs manufactured by a company gave a mean life of 3000 hours with standard deviation of 400 hours. If a bulb is selected at random‚ what is the probability it will have a mean life less than 2000 hours? Question: 1) Calculate the probability. 2) In what situation does one need probability theory? 3) Define the concept of sample space‚ sample points and events in context of probability theory. 4) What is the difference between objective and subjective probability
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Regression Analysis Exercises 1- A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres. |Fertilizer Used |Yield of Corn | |120
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------------------------------------------------- Tzu Han Hung (Vivian) CASE 2 1. Estimated profit by random selection Expected spending per catalog mailed = 0.053 * $103 = $5.46 Expected Gross Profit by random select= (5.46-2)*180‚000 = $622‚800 2. a) We applied partition to “All_data” sheet‚ and partition output is shown in “Data_Partition1” b) Logistic regression output can be seen in “LR_Output1”. Target variable is “purchase”. We select every variable except sequence_number(meaningless
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Structural Equation Modeling * A Conceptual Overview * The Basic Idea Behind Structural Modeling * Structural Equation Modeling and the Path Diagram A Conceptual Overview Structural Equation Modeling is a very general‚ very powerful multivariate analysis technique that includes specialized versions of a number of other analysis methods as special cases. We will assume that you are familiar with the basic logic of statistical reasoning as described in Elementary Concepts. Moreover‚ we will
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Tutorial 11 A11.1 Data on manatee deaths due to powerboats was used to construct a linear regression model relating these deaths to the number of registered powerboats. Year 1977 1978 1979 1980 1981 1982 1983 Power boats (thousands) 447 460 481 498 513 512 526 Manatee Deaths 13 21 24 16 24 20 15 Year 1984 1985 1986 1987 1988 1989 1990 Power boats (thousands) 559 585 614 645 675 711 719 Manatee Deaths 34 33 33 39 43 50 47 The
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Mortality Rates Regression Analysis of Multiple Variables Neil Bhatt 993569302 Sta 108 P. Burman 11 total pages The question being posed in this experiment is to understand whether or not pollution has an impact on the mortality rate. Taking data from 60 cities (n=60) where the responsive variable Y = mortality rate per population of 100‚000‚ whose variables include Education‚ Percent of the population that is nonwhite‚ percent of population that is deemed poor‚ the precipitation
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UNIVERSITY OF LA VERNE COLLEGE OF BUSINESS AND PUBLIC MANAGEMENT BUS 500C QUANTITATIVE & STATISTICAL ANALYSIS COMPREHENSIVE FINAL EXAMINATION 1. The personnel director for a business organization has identified 10 individuals as qualified candidates for 3 managerial training positions her firms seeks to fill. Use the appropriate rule to give the number of different combinations of the 10 individuals who could be chosen for the 3 positions. As discussed in class we would use the combination
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BRUNEL UNIVERSITY Master of Science Degree examination Specimen Exam Paper 2005-2006 EC5002: Modelling Financial Decisions and Markets EC5030: Introduction to Quantitative Methods Time allowed: 1.5 hours Answer all of question 1 and at least two other questions 1. COMPULSORY Provide brief answers to all the following: (a) A sample of 20 observations corresponding to the model: Y = + X + u‚ gave the P P P following data: (X X)2 = 215:4‚ (Y Y )2 = 86:9‚ and (X X)(Y Y ) = 106:04. Estimate . (5 marks)
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PBL 3 GSM 5000 MANAGERIAL ECONOMICS You have been appointed as a member of a consultation team who is working on this very important assignment for a soft drink company. The main task is to evaluate factors affecting the soft drink consumption. Therefore‚ you should revise the knowledge of demand analysis and carry out an investigation on the possible determinants of the demand for the product. The consultant should also describe the methodology of a multiple linear regression and its purpose
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SUMMARY A montage of images - the prairie‚ cattle ranches‚ fast-food restaurants‚ a cement factory‚ car dealers‚ the University of Wyoming - reveals the town of Laramie‚ Wyoming‚ pop. 26‚687. As the town’s police sergeant says‚ "It’s a good place to live. Good people - lots of space. We’re one of the largest states in the country‚ and the least populated." Laramie residents take pride in being part of the "gem city of the plains‚" and appear to believe in the motto "Live and Let Live." What
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