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    costs at the original budgeted activity level. True False 3. The overhead spending variance and the overhead efficiency variance are useful only if variable overhead really should be proportional to the activity measure that is being used in the flexible budget. True False 4. The variable overhead efficiency variance reflects how efficiently variable overhead resources were used. True False 5. A reason for keeping a constant denominator activity level is to maintain stability in the amount of

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    using an average variable cost function of the form. AVC= a + bQ+ cQ^2 (the 2 is suppose to be exponent) Where AVC=dollars per vacuum cleaner and Q=number of vacuum cleaners produced each month. Total fixed cost each month is $180‚000. The following results were obtained: Dependent Variable:AVC R-Square F-Ratio P-Value on F Observations:19 0.7360 39.428 0.0001 Variable

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    The Giant Water Bug This story is about one phenomenon of nature‚ which the author observes ones when she was walking alone the edge. The frog was drained by a giant water bug. From the stylistic point of view the text falls into two parts. In the first part of the story the author uses a lot of literary stylistic devices such as epithets‚ trite metaphors and similes. For example metaphors: Frogs were flying all around me; similes: like a schematic

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    gives strong arguments and facts on NARAL Pro-Choice America’s believe. These facts will provide strong pro-evidence about abortions. "The Abortion Pill: RU-486." Issues & Controversies On File: n. pag. Issues & Controversies. Facts On File News Services‚ 19 June 2007. Web. 8 Nov. 2010. . The article provides the main facts of the abortion pill. The article gives the arguments of parties‚ that support and the people who oppose the

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    CASH FLOW DIRECT/INDIRECT 1. Given the following information and using the indirect method prepare the Cash Flows from Operating Activities section of the statement of cash flows. End of Year Beginning of Year Change Cash 23‚500 37‚400 (13‚900) Accounts receivable (net)

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    following is correct? | A) | Finished Goods Inventory has increased. | B) | Work in Process Inventory has increased. | C) | Finished Goods Inventory has decreased. | D) | Work in Process Inventory has decreased. | 5. | Sales are $500‚000 and variable costs are $350‚000. What is the contribution margin ratio? | A) | 43%. | B) | 30%. | C) | 70%. | D) | Cannot be determined because amounts are not expressed per unit. | 6. | Barcelona Bagpipes produces two models: Model 24 has sales of

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    August 16‚ 2010 NDS 2010-19 New Developments Summary Variable interest entity analysis ASC 810‚ Consolidation‚ as amended by ASU 2009-17 Introduction A reporting entity must assess whether its involvement with another legal entity requires the reporting entity to consolidate that legal entity and / or provide disclosures in accordance with guidance for variable interest entities. This bulletin outlines a reporting entity’s step-by-step approach to the assessment of its involvement with

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    kComprehensive Problem Weighted-Average Method The PVC Company manufactures a high-quality plastic pipe that goes through three processing stages prior to completion. Information on work in the first department‚ Cooking‚ is given below for May: Production data: |   | Pounds in process‚ May 1: materials 100% |   | complete; conversion 90% complete | 70‚000 | Pounds started into production during May | 350‚000 | Pounds completed and transferred to the next department | ? | Pounds in process

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    PLANT GROWTH EXPERIMENT Numerous environmental variables influence plant growth. Three students each planted a seedling of the same genetic variety in the same type of container with equal amounts of soil from the same source. Their goal was to maximize their seedling’s growth by manipulating environmental conditions. Their data are shown below. Plant Seedling Mass (grams) Day 1 Day 30

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    CHAPTER 7 THE TWO-VARIABLE REGRESSION MODEL: HYPOTHESIS TESTING QUESTIONS 7.1. (a) In the regression context‚ the method of least squares estimates the regression parameters in such a way that the sum of the squared difference between the actual Y values (i.e.‚ the values of the dependent variable) and the estimated Y values is as small as possible. (b) The estimators of the regression parameters obtained by the method of least squares. (c) An estimator

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