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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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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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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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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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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ANALYZING A PORTFOLIO a 58. You want your portfolio beta to be 1.20. Currently‚ your portfolio consists of $100 invested in stock A with a beta of 1.4 and $300 in stock B with a beta of .6. You have another $400 to invest and want to divide it between an asset with a beta of 1.6 and a risk-free asset. How much should you invest in the risk-free asset? a. $0 b. $140 c. $200 d. $320 e. $400 ANALYZING A PORTFOLIO d 59. You have a $1‚000 portfolio which is invested in stocks A
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A NOTE ON HYPOTHESIS TESTING |Significance Level |One-Sided Test |Two-Sided Test | |0.10 |1.285 |1.645 | |0.05 |1.645 |1.960 | |0.01 |2.33 |2.575 | Part A. Single-Sample
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After real estate is added to the portfolio‚ there are four asset classes in the portfolio: stocks‚ bonds‚ cash and real estate. Portfolio variance now includes a variance term for real estate returns and a covariance term for real estate returns with returns for each of the other three asset classes. Therefore‚ portfolio risk is affected by the variance (or standard deviation) of real estate returns and the correlation between real estate returns and returns for each of the other asset classes
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