50 55 60 65 70 75 80 85 90 95 100 Q1 : 44.5 % Q2 : 58.0 % Q3 : 69.0 % Lecture 12 - CHEE 231 – Fall 2013 – Prof. Girard-Lauriault 2 Sampling Distribution‚ unknown Variance While we know that X is normally distributed (Central Limit Theorem)‚ it is important to have a good point estimate on σ to use the z distribution as a probability distribution function for X . Rule of thumb: If n≥30 the normal approximation
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Assignment 1: Variance Analysis Report In order to perform a variance analysis report Jenkins calculated the actual revenues and expenses and found the difference which was $296‚610 in profits. Then Jenkins did the same with budgeted values and found the budgeted profits to be $606‚350. The variance amount in turn is $309‚960 under budget. Also‚ the variance amount for revenues is $32‚100. This number is favorable due to the fact that they made more than what they had budgeted for. But on the contrary
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1. Human resource is an example of (an): (Points : 2) Unit-level activity. Batch-level activity. Product-level activity. Organization-sustaining activity. 2. Which of the following is not a limitation of activity-based costing? (Points : 2) Maintaining an activity-based costing system is more costly than maintaining a traditional direct labor-based costing system. Changing from a traditional direct labor-based costing system to an activity-based
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1) Determine the direct costs and overhead variances. What might be causing each of the variances to occur? In the Frame assembly department‚ the main variances are related to the forecast not precise of actual weight of the materials and underestimation of actual prices. See below: [pic] In the wheel assembly department the main variance is in quantity as shown below: [pic] And also related to rework of parts with
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Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test Andrew W. Lo A. Craig MacKinlay University of Pennsylvania In this article we test the random walk hypothesis for weekly stock market returns by comparing variance estimators derived from data sampled at different frequencies. The random walk model is strongly rejected for the entire sample period (19621985) and for all subperiod for a variety of aggregate returns indexes and size-sorted portofolios. Although
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Compute a materials price variance for the plates purchased last month and a materials quantity variance for the plates used last month. Materials Price Variance measures the difference between what is paid for a given quantity of materials and what should have been paid according to the standard. (Actual Quantity x Actual Price) – (Actual Quantity x Standard Price) or AQ (AP-SP) Materials Price Variance = 12‚000 plates x ($2.50 - $2.35) = $1‚800 Materials Quantity Variance measures the difference
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T-bills average return = 39.31% / 6 U. T-bills average return = 6.55% V. b. Using the equation for variance‚ we find the variance for large company stocks over this period was: Variance = 1/5[(–.1469 – .0324)2 + (–.2647 – .0324)2 + (.3723 – .0324)2 + (.2393 – .0324)2 + (–.0716 – .0324)2 + (.0657 – .0324)2] Variance = 0.058136 And the standard deviation for large company stocks over this period was:
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common mean µ but 2 2 2 have variances σ1 ‚ σ2 ‚ · · · ‚ σn (which need not be the same) show that the sample mean ¯ Y is an unbiased estimator of µ with standard deviation 1 n 1 2 n 2 σi . i=1 (ii) A student takes independent measurements of an instrument but‚ owing to fatigue‚ 2 the variance of his measurements increases linearly‚ i.e.‚ σr = σ 2 + rc where σ 2 > 0 ¯ c > 0 (r = 1‚ · · · ‚ n). Use the result of (i) to show that the variance of Y is never less 1 ¯ is not
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AB1202 – Statistics and Quantitative Methods Nanyang Business School AB1202 – STATISTICS AND QUANTITATIVE METHODS Academic Year : 2014– 2015 Course Coordinator : Chin Chee Kai Pre-requisites : - No. of AUs Semester : S1 : 3 Course Description and Scope In almost every form of business‚ we routinely deal with uncertain business outcomes‚ risky decisions‚ unknowable parameters‚ imprecise opinions and measurements‚ and most importantly‚ the elusive element called
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Insel’s Gurun facility. There are seven departments in MIC Division‚ which are Product Engineering‚ Production Planning‚ Marketing‚ New Product Development‚ Quality Assurance‚ Manufacturing‚ and Financial Controller. This division used standard and variance costing system‚ and there were 29 cost centres in its factory design. QUESTION 1 List four (4) major problems that Insel Inc.’s MIC Division is
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