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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combinations (Essential Investment‚2003).Optimal market portfolio is regarded by Doeswijk‚ Lam and Swinkels (2012) as the best choose or benchmark choose of portfolio for any ordinary investor because it includes all assets’ value among the market.Minimum variance portfolio (MVP) focuses on the goal of reaching the lowest risk through determining appropriate weight of each asset. “MVPs illustrated returns similar to their benchmark capitalization weighted indices but with 25-30% lower standard deviation.”(Haugen
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Accounting Winter 2013 Practice Problems Chapter 8 Problem 1: Different management levels in Bates‚ Inc.‚ require varying degrees of managerial accounting information. Because of the need to comply with the managers’ requests‚ four different variances for manufacturing overhead are computed each month. The information for the September overhead expenditures is as follows: Budgeted output units 3‚200 units Budgeted fixed manufacturing overhead $20‚000 Budgeted variable manufacturing
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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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is the variance of this particular dimension. Firstly‚ the distance on each dimension between the host country j and the home country (in this case Germany). Secondly‚ this number is squared. After squaring minus each variable is divided by the variance of that variable. And finally‚ all these four variances are added together and divided by 4. 2. What is the difference between mean and variance? Can you explain the example given in the lecture in your own words? Mean and variance are both
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would it affect the graph if the broker were to charge the full amount of the fee? 4. Derive the optimum portfolio weights for a portfolio with two uncorrelated assets. 5. Suppose there n mutually uncorrelated assets. The return on asset i has variance i2 ‚ i 1‚2‚...‚ n but the expected rates of return are unspecified at this point. The weight of asset i in the market portfolio is xi ‚ i 1‚2‚...‚ n . Assume there is a risk-free asset with rate of return
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do not remain static. With the change in circumstances‚ if the standards are not revised the same become impracticable. The fixing of responsibility is not an easy task. The variances are to be classified into controllable and uncontrollable variances. Standard costing is applicable only for controllable variances. For instance‚ if the industry changed the technology then the system will not be suitable. In that case‚ we will have to change or revise the standards. A frequent revision of
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Week 5 Problems and questions ACC 349 a. Chapter 8 – Exercise E8-11 E8-11 Allied Company’s Small Motor Division manufactures a number of small motors used in household and office appliances. The Household Division of Allied then assembles and packages such items as blenders and juicers. Both divisions are free to buy and sell any of their components internally or externally. The following costs relate to small motor LN233 on a per unit basis.
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Charismatic Condition Mean 4.204081633 Standard Error 0.097501055 Median 4.2 Mode 4.8 Standard Deviation 0.682507382 Sample Variance 0.465816327 Kurtosis 5.335286065 Skewness -1.916441174 Range 3.5 Minimum 1.5 Maximum 5 Sum 206 Count 49 Confidence Level(95.0%) 0.196039006 In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people
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standards are set too high. When the products are run at a lower cost than the standard‚ then this produces a favorable variance. The cost of goods sold and variance should net to the correct cost though and this is the reason the system creates the variance. Lansing set a loose standard which the standard quantities and standard price are high‚ flowing this situation favorable variances will ordinarily result from operations. When the standard cost set artificially high‚ the standard cost of goods sold
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