Running Heading: COST ALLOCATION AND VARIANCES Cost Allocation and Variances- Chapter 12 & 13 Text Book Questions Stacey S. Swafford University of Phoenix ACC 561 Dr. Janice Mereba April 23‚ 2010 Chapter 12 Excel Application Exercise 12-59: Allocating Costs Using Direct and Step-Down Methods p. 584 Goal: Create an Excel spreadsheet to allocate costs using the direct method and the step-down method. Use the results to answer questions about your findings. Scenario: Antonio
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IILUSTRATIONS - BUDGETES IILUSTRATION 1: PYE Ltd produces and markets a very popular product called P. The company is interested in presenting its budget for the second quarter of the year. The following information is made available for this purpose. 1. Its expects to sell 50‚000 bags of during the second quarter at a selling price of Rs 9 per kg 2. Each bag of P Requires 2.5 kgs of raw material Q and 7.5 kgs of raw material R. 3. Q costs Rs 1.20 per kg‚ R costs 20 paisa per kg
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Assignment 7: Mean-Variance Portfolio Theory ------------------------------------------------- Top of Form 1 . Consider‚ as in Lecture 7.1‚ a portfolio of two risky assets‚ with expected returns rˉ1‚rˉ2‚ variances σ21‚σ22 and covariance σ1‚2. No other assets are available. You have to allocate $1 mln of investment in the portfolio of the two assets in order to minimize total portfolio variance. What is the optimal amount of investment in asset 1 (in mln dollars)? Assume expected returns are
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TABLE OF CONTENTS Introduction 3 undefined depreciation 4 Supply chain Distribution costs 4-5 Executive and Administrative compensation 5-6 utility Expenses 6 sales projections 7 flexible budget 7-8 Favorable and Unfavorable Variance Analysis 8 master budget 9-12 management by EXCEPTION 13-15 References 16 Introduction For a business to grow and survive in today ’s dynamic environment where profit margins are squeezed and businesses are forced to operate with lower
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Multivariate analysis of variance Multivariate analysis of variance (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. among the independent variables.[1] Where sums of squares appear in univariate analysis of variance‚ in multivariate
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Comprehensive exercise to calculate variances: Gilder Corporation makes a product with the following standard costs: The company reported the following results concerning this product in June. The company applies variable overhead on the basis of direct labor-hours. The direct materials purchases variance is computed when the materials are purchased. Required: a. Compute the materials quantity variance. 15‚600 F b. Compute the materials price variance. 44‚100 * 0.1 = 4‚410 F c. Compute
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13. Variance and Standard Deviation (expected). Using the data from problem 13‚ calculate the variance and standard deviation of the three investments‚ stock‚ corporate bond‚ and government bond. If the estimates for both the probabilities of the economy and the returns in each state of the economy are correct‚ which investment would you choose considering both risk and return? Why? ANSWER Variance of Stock = 0.10 x (0.25 – 0.033)2 + 0.15 x (0.12 – 0.033)2 + 0.50 x (0.04 – 0.033)2 + 0
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In PBM managed contracts among retail pharmacies such as‚ Bob’s Pharmacy‚ the PBM often in most instances will reimburse the pharmacy a flat rate dispensing fee for each prescription filled in addition to an added reimbursement amount for the actual product dispensed that can be based upon a percentage of the Average Wholesale Price (AWP). This price reimbursed for a drug may be different than the initial price that the retail pharmacy paid the drug wholesaler who supplied the drug to be dispensed
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One-way Analysis of Variance (Abbreviated one-way ANOVA) is a technique used to compare means of two or more samples (using the F distribution). This technique can be used only for numerical data. It consists of a single factor with several levels and multiple observations at each level. With this kind of layout we can calculate the mean of the observations within each level of our factor. The residuals will tell about the variation within each level. It can also average the means of each level
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The Effects of Reputation and Ethics on Budgetary Slack This paper conducts an experimental study to test the effects on budgetary slack of two potential controls for opportunistic self-interest – reputation and ethics. In the experimental study the level of information asymmetry between the subordinate and the superior regarding productive capability is manipulated and the subordinate’s reputation and ethical concerns regarding budgetary slack are measured. The paper examines how information asymmetry
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