Explain Arithmetic mean. (b) The mean wage is Rs. 75 per day‚ SD wage is Rs. 5 per day for a group of 1000 workers and the same is Rs. 60 and Rs. 4.5 for the other group of 1500 workers. Find the mean and standard deviation for the entire group. Answer. (a) Arithmetic mean: Arithmetic mean is defined as the sum of all values divided by number of values and is represented by X . Arithmetic mean is also called ‘average’. It is most commonly used measures of central tendency. Arithmetic Mean of a series
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questionnair is more than schedule. 2- Data representation of family expenditure using Pie Chart 3- X = X1*n1 + X2*n2 n1 +n2 where X = Combined arithmetic mean = 10.9 X1 = arithmetic mean of sample (1) = 10.4 and n1 = No. of sample (1) = 100 X2 = arithmetic mean of sample (1) = ? and n1 = No. of sample (2) = 150 So… 10.9 = 10.4 * 100 + X2 * 150 100 + 150 2725 = 1040 + X2 * 150 1685 = X2 * 150
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The Duff & Phelps Risk Premium Report 2011 Using the 2011 Duff & Phelps Report: Learn from the Master Roger Grabowski‚ ASA Duff & Phelps Questions@BVResources.com © 2011 Business Valuation Resources‚ LLC Disclaimer Any opinions presented in this seminar are those of Roger J. Grabowski and do not represent the official position of Duff & Phelps‚ LLC. This material is offered for educational purposes with the understanding that neither the author or Duff & Phelps‚ LLC are not engaged
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rate and arithmetic market premium: The argument for this approach is that short-term rates are the best proxy for riskless rates: as obligations of the U.S. (or other) government‚ short-term rates are the closest to being default-risk free. As short-term rates‚ they suffer little risk of illiquidity or capital loss because of sudden rises in market yields. For the purposes of these notes‚ “short term” is defined as 90 to 360 days. The corresponding market premium used is the arithmetic average
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Introduction Markowitz (1952‚ 1956) pioneered the development of a quantitative method that takes the diversification benefits of portfolio allocation into account. Modern portfolio theory is the result of his work on portfolio optimization. Ideally‚ in a mean-variance optimization model‚ the complete investment opportunity set‚ i.e. all assets‚ should be considered simultaneously. However‚ in practice‚ most investors distinguish between different asset classes within their portfolio-allocation frameworks
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HIGHER INSTITUTE OF AGRICULTURE & ANIMAL PRODUCTION (ISAE) DEPARTMENT OF RURAL DEVELOPMENT & AGRIBUSINESS (RDA) COURSE: RESEARCH METHODOLOGY (RM) CREDITS: 3 = 45 hrs (30 Theory + 15 TP) CLASS: RDA 4th Yr‚ Aug 2012 VENUE: Rubilizi Campus‚ CONVENOR: Dr. J. Richard N. KANYARUKIGA PhD (IWRM)‚ UDSM‚ Tanzania; MSc TAD (AE&P)‚ Reading‚ UK; BSc Agric (AS&P)‚ SUA‚ Morogoro‚ Tanzania Contact: Tel: +250 785 437 335; E-mail: jrnkanyarukiga@isae.ac.rw jrnkanyarukiga@yahoo.com kf
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Marriott Corporation Abstract Marriott Corporation has three divisions – lodging‚ contract services and restaurants – with dissimilar operations. The company uses three separate hurdle rates for the three divisions to value the proposed projects. It is believed that this strategy is more appropriate that using a single firm-wide discount rate because the operations of the three divisions differ drastically. However‚ the company has to ensure that the company uses an appropriate discount rate for
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Individual solid particles are characterised by their size‚ shape‚ and density. 1.1 Particle shape The shape of an individual particle is expressed in terms of the sphericity F s‚ which is independent of particle size. The sphericity of a particle is the ratio of the surface-volume ratio of a sphere with equal volume as the particle and the surface-volume ratio of the particle. For a spherical particle of diameter D p‚ F s =1; for a non-spherical particle‚ the sphericity is defined as Dp:
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Population and Sampling MTH/231 August 29‚ 2012 Importance of Population and Sampling History from Political Arithmetic to Statistics The history timeline show evidence of statistical data as early as Ancient Greece time but records show statistics in late 16th century‚ when it was introduced by‚ John Graunt‚ William Petty‚ and Pascal and later in 17th century by Gottfried Achenwall. It was an exciting time when success and discoveries raised the confidence of scientists‚ physicist and astronomers
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used for both graphs‚ they would look as follows: Example 2: ABC.com presented that the average blood sugar level before meals for Americans is 142 mg/dL but did not specify how the average was calculated. What they did not share was that the mean‚ or arithmetic average‚ was calculated from a sample size of only four people. Of these four people‚ all of the blood sugar levels (before meals) were in normal ranges and one person had a blood sugar level of 240 mg/dL‚ causing the entire group’s average to be skewed
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