Statistics Midterm paper 1. : Identify the implied population in the information here. Government agencies carefully monitor water quality and its effect on wetlands (Reference: Environment Protection Agency Wetland Report EPA 832-R-93-005). Of particular concern is the concentration of nitrogen in water draining from fertilized lands. Too much nitrogen can kill fish and wildlife. Twenty-eight samples of water were taken at random from a lake. The nitrogen concentration (milligrams of nitrogen
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and Estimation for Population Variances Business Statistics: A Decision-Making Approach‚ 7e © 2008 Prentice-Hall‚ Inc. Chap 11-1 Chapter Goals After completing this chapter‚ you should be able to: Formulate and complete hypothesis tests for a single population variance Find critical chi-square distribution values from the chi-square table Formulate and complete hypothesis tests for the difference between two population variances Use the F table to find critical
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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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Variances Variances can be either: * Positive/favourable (better than expected) or * Adverse/unfavourable ( worse than expected) A favourable variance might mean that: * Costs were lower than expected in the budget‚ or * Revenue/profits were higher than expected By contrast‚ an adverse variance might arise because: * Costs were higher than expected * Revenue/profits were lower than expected What causes budget variance? There are four key reasons and it is important that
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PRODUCTION VARIANCE REPORT Background On completion of the first full inventory count for March 2013‚ ACL Production incurred a variance of TTD 277 k. The reasons for these variances included:- Bulk Paint not consumed Usage not recorded Normal Loss (Evaporation/Clingage) Drum Shortage Packaging use not recorded Multiple report as Finished Not defined These variances were not taken to book until a clear understanding of why it occurred was realized. As a consequence of the above‚ it was
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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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Terms: Forecast vs Forecast Error We clarify the terms used in the practice problems and the final exam problems. Some statisticians speak of the standard deviation or variance of the forecast. The forecast here is the distribution of future values. It is a random variable‚ which has a standard error (standard deviation and variance). Other statisticians use the term forecast for the mean of the distribution of future values. The forecast error (the error term in the forecast) is the distribution
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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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Variance Analysis 1. Define standard costs and describe how managers use standard costs in the management cycle. 2. Explain how standard costs are developed and compute a standard unit cost. 3. Prepare a flexible budget and describe how variance analysis is used to control costs. 4. Compute and analyze direct materials variances. 5. Compute and analyze direct labor variances. 6. Compute and analyze manufacturing overhead variances. 7. Explain how variances are used to evaluate managers’ performance
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CHAPTER 8 FLEXIBLE BUDGETS‚ OVERHEAD COST VARIANCES‚ AND MANAGEMENT CONTROL 8-16 (20 min.) Variable manufacturing overhead‚ variance analysis. 1. Variable Manufacturing Overhead Variance Analysis for Esquire Clothing for June 2009 | | |Flexible Budget: |Allocated: | |Actual Costs Incurred | |Budgeted Input Qty. |Budgeted Input Qty.
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