Marriot Corporation : the Cost of Capital. In front of Dan Chores is the issue of recommending three hurdle rates for each of Marriott Corporation’s three divisions‚ which have significant effect on the firm’s financial and operating strategies as well as its incentive compensation. Marriott Corporation had three major lines of business: lodging‚ contract services and restaurants. Also Marriott had its growth objective‚ to remain a premier growth company. The four components of
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Descriptive statistics information Descriptive statistics organize‚ summarize‚ and communicate a group of numerical observations and describe large amounts of data in a single number or in just a few numbers Inferential statistics Use samples to draw conclusions about a population Inferential statistical use sample data to make general estimates about the larger population‚ and infer or make an intelligence guess about‚ the population Sample: a set of observations drawn from the population
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P = price V = variable cost Fc = fixed cost t = time in yrs Chapter 11 quiz Q ‚ P ‚ V ‚ FC (based-plan‚ lower‚ upper) DEP = F0Costs / # yr’s Based price for (Q ‚ P ‚ V ‚ FC) multiply them each by WITHIN 10%‚ .10 than add‚ subtract Best case +P‚ +Q‚ -V‚ -FC Worst case –P‚ -Q‚ +V‚ +FC Best case scenario: OFC = [(Q+ x P+) – (Q+ x V-) – FC- – DEP] (1 - TAX RATE) +DEP high rev‚ low cost Worst case scenario: OCF= [(Q- x P-) – (Q- x V+) – FC+ – DEP] (1 - TAX RATE) +DEP high cost‚ low rev
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Congoleum Corporation Executive Summary In valuing the target company Congoleum after an LBO by First Boston found the expected free cash flows generated by this firm from 1980 to 1984. These numbers were based on values provided in the case. From there‚ we employed the Adjusted Present Value method to discount these cash flows because we assumed that Congoleum was varying its Debt to Equity ratio during those years. We discounted these cash flows by the required return on assets that was in
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EMPLOYEE ATTRITION ‘An Analysis of Factors Influencing Attrition in the growing Economies’ INTRODUCTION In the recent decades the Indian industry has changed its outlook. The employment scene has changed its appearance. The factors like skill sets‚ job satisfaction drive the employment and not just the money. The employer hence faces the heat of continuous employee turnover. Continuous efforts are made by organisations to control the employee turnover rate as it directly affects the performance
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investment is positive‚ as it will be for all investments on an ex ante basis—people wouldn’t invest if they expected to lose money! (This is what distinguishes investing from gambling.) However‚ just because the expected return is positive does not mean that I would necessarily invest. The expected return must be sufficient to compensate me for the risk that I bear. Knowing that there is a possibility of a negative outcome is not sufficient as a measure of risk. Therefore‚ I can’t say whether or not
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solution we calculate the expected value of the random variable or population of arithmetic mean of x and y: μ = Σ x / N = 2‚500/5 = 500 = 3‚000/5 = 600 Solution 2: The variance for x is 5‚000‚000 The variance for y is 5‚050‚000 Solution 3: The Standard deviation is found by squaring the result of the variance: SD of x = 2236‚ this tells us on average how far is from sample mean. SD of y = 2247 Solution 4: The coefficient of variation is as follows:
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confidence S = in an estimate of the population deviation E = maximum allowable margin of error Appendix C {draw:frame} Note: Z = is the standard normal value corresponding to the desired level of confidence X = is the mean of the sample. {draw:line} u =is the hypothesized population mean. {draw:line} s = is the standard deviation of the sample. {draw:line} n = is the number of observations in the sample. Appendix D A stepwise multiple regression analysis of job satisfaction of pay *p<.05 The table
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SEFOTECH 2011-13 PCM MODULE (MODULE 15) Table of contents Abstract 2 Introduction 3 Literature review Acoustic studies of crisp‚ crunchy and crackly food products 4 The use of acoustic recording for crisp‚ crunchy and crackly food products 4 Acoustic research and its relationship with structure 5 Other methods involved in textural and acoustic studies 5 Materials and methods Sample preparation for texture and acoustic analysis 5 Sample preparation
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Contents Introduction 3 TASK 1 4 TASK 2 – Graphs and calculations 5 Mean‚ standard deviation‚ mode‚ etc. 6 Mean and Standard Deviation of a Frequency distribution 6 Work satisfaction 6 Working condition 13 Effective management 19 Stress in Workplace 25 TASK 3 – t-test 31 TASK 4 – Correlation and Regression 33 TASK 5 – Summary 35 BIBLIOGRAPHY 36 APPENDIX 1. 37 300 random numbers 37 30 selected random numbers from random array. 38 APPENDIX 2. 39 Sample of 30 records
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