to carry some of these attributes with me in my professional life‚ as I know I will carry all the knowledge he taught me. ¡ Gracias ! Thanks (orderless) to Carlos‚ who introduced me to the data world and shared with me so many principal component analysis conversations... to Professor Eaton for teaching me‚ among other things‚ to resist the temptation to take the derivative every time there is a function to maximize... to John‚ Pedro‚ Roberto and Yongwu‚ who were always willing to have discussions
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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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(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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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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Compagnie du Froid S.A. (#s in thousands) Variance Evaluations The CEO‚ Jacques Trumen‚ of Compagine discusses ambitious growth opportunities and the profit plan for three regions with very competent managers that strive to produce the best results for their division. The Italian and Spanish had favorable product mix variance of 68 and 4‚241‚ respectively. This additional profit both of these regions attained should be looked by Pierre and Andres and determine cost implications on “specialties”
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material price and usage variances for the month. Material Price (Standard) | Material X | Material Y | Total Price | Product A | 218‚400 | 35‚700 | 254‚100 | Product B | 280‚800 | 61‚200 | 342‚000 | Total | 499‚200 | 96‚900 | 596‚100 | Material Price (Actual) Material X = 39‚000 @ 12.40 Material Y = 11‚000 @ 8.70 | Material X | Material Y | Total Price | | 483‚600 | 95‚700 | 579‚300 | Difference | 15‚600 | 1‚200 | 16‚800 | Usage Variance Material X = 15‚600
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concerning variances for test concerning frequency distributions to test the independence of two variables The chi-square variable cannot be negative and the distributions are positively skewed. At about 100 d.f.‚ the distribution becomes symmetrical. The area under each chi-square distribution is equal to 1 or 100%. BUSSTAT prepared by CSANDIEGO A portion of 2 distribution BUSSTAT prepared by CSANDIEGO Test for a Single Variance Used to test a claim about a single variance‚ should
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problems. The earliest work was performed by Girolamo Cardano (1501-1576) an Italian mathematician‚ physician‚ and gambler. In his manual Liber de Ludo Aleae‚ Cardano discusses many of the basic concepts of probability complete with a systematic analysis of gambling problems. Unfortunately‚ Cardano ’s work had little effect on the development of probability because his manual‚ which did not appeared in print until 1663‚ received little attention. In 1654‚ another gambler named Chevalier de Méré
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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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Katie Ebert JET2 Task 2 #000276281 There are a few areas of concern when looking over Competition Bike’s budget for the upcoming year (Year 9). This budget estimates that 3‚510 units will be sold. CB has just experienced a 15 % decline in sales‚ due to the economic situation. In year 8‚ CB sold 3‚400 units. This flexible budget is allowing 110 more units be added into the mix. Although sales trends have remained consistent‚ despite the decline in sales from professional riders‚ it might
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