some (though not necessarily every bit) of work for any substantial calculations. 1. (Each part 5 points) Suppose . That is‚ X has a normal distribution with μ=30 and σ2=144. 1a. Find a transformation of that will give it a mean of zero and a variance of one (ie.‚ standardize ). Let the transformed variable be named Z. We desire μz=0‚ σ2z=1. This means 0=a+b μX and b2 σ2X=1. One solution to this system of equations is b=1/12 and a=-5/2. Of course‚ if you recognized the fact that our standard
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this case the four scores for PD‚ UAV‚ IND and MAS. Vi is the variance of the score of this dimensions. The variances for all dimensions can be calculated in excel. 2. What is the difference between mean and variance? Can you explain the example given in the lecture in your own words? The mean is a weighted average of the possible values a certain variable can take. The mean provides the long-run average of a variable. The variance of a variable measures the spread or variability of the distribution
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shortfall. Based on his analysis‚ he will explain this variance fully and make recommendations to senior management. Analysis of Loss The rates and the number of units sold determine planned and actual result differences‚ representing the variance. Variances are used in performance evaluation to determine areas that are performing differently than expected. As noted in chapter seven‚ focusing on understanding what caused the variances allows managers to more completely handle what is happening
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analysis. 8th Edition. Asia: John Wiley & Sons‚ Inc. Hillier‚ D.‚ Clacher‚ I.‚ Ross‚ S.‚ Westerfield‚ R.‚ and Jordan‚ B.‚ 2011. Fundamentals of corporate finance. European Edition. Berkshire: McGraw-Hill Higher Education. Investopedia‚ 2014. Portfolio variance. Investopedia [online]. Available from: http://www.investopedia.com/terms/p/portfolio-variance.asp [Accessed 20 March 2014] Markowitz‚ H.‚ 1952. The journal of finance. Portfolio selection. 7 (1)‚ 77-91. Reilly‚ F.K.‚ and Brown‚ K.C.‚ 2012. Analysis
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standard deviation divided by the expected rate of return. It is a standardized measure of risk that assesses risk per unit of return). 1-Year T-Bill Variance = (0.10 x [.07-.07]2)+ (0.20 x [.07-.07]2) + (0.40 x [.07-.07]2) + (0.20 x [.07-.07]2) + (0.10 x [.07-.07]2) = 0 Standard Deviation = 0 = 0% Coefficient of variation = 0%/7% = 0 Project A Variance = (0.10 x [-.08-.135]2) + (0.20 x [.02-.135]2) + (0.40 x
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two companies A and B to calculate the expected returns. COMPANY A standard deviation is affected by the association of movement of returns of two securities. Covariance of two securities measures their co-movement. How do we Calculate Co-variance? There are three steps involved I the calculation of covariance between two securities; Determine the expected returns for securities Determine the deviation of possible returns from the expected return for each security. Determine the sum
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Analyzing and Interpreting Data – BIMS‚ Inc. QNT/351 Analyzing and Interpreting Data – BIMS‚ Inc. Consulting Group – Team D has performed a series of analysis on behalf of the top management of Ballard Integrated Managed Services‚ Inc (BIMS). These tasks were the result of an emerging trend of attrition and employee dissatisfaction within their organization. The initial actions taken involved data collection that were presented in the form of an internal employee survey. The data collection
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Dear Peterson Pottery‚ Here are the variances explaining the Clay and Glaze operations. By knowing the variances‚ we can paint a picture to see what is going on within those operations. Here you will find the picture of Clay Materials and Labor‚ Glaze Material and Labor‚ Variable and Fixed Overhead. By analyzing the data‚ shown by the variances‚ there are some issues that must be brought to attention. By taking time to analyze the data and devising a plan will help your business save on costs
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test this difference‚ we determine the difference between the statistic (the difference between the means)‚ and the hypothesized value for the parameter (0). o if the population variance is known‚ the sampling distribution of differences is normally distributed. o if the population variance is UNKNOWN‚ the sampling distribution of differences is the t distribution‚ for the appropriate degrees of freedom. Assumptions that must be considered: 1. Independence. The samples
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(a) Suppose all distinct assets in the economy have a correlation of ρ = −.02 with every other asset. Let the variance of each asset be 0.25‚ and the investor holds an equally weighted portfolio of these assets. How many of such assets should an investor hold so that the variance of her portfolio is zero? (b) If the correlation was 0.02 can the investor ever achieve a zero variance? (c) For the case that the correlation is 0.4‚ and the investor holds an equally weighted portfolio of 10 assets
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