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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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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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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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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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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was $71‚460‚ the seventh year was $98‚280‚ and the eight year was $82‚284. This is concerning that the budget has fluctuated so much. In the ninth year they have allocated $85‚861. This budget line item should be analyzed so there is not so much variance in the budget between year to year. Another concern is the amount of carbon fiber sheets that are going to be purchased. It takes 42 sheets to produce 1 bike. Times this by the number the company is planning on producing‚ 3‚510‚ which will equal
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Geeta & Company has experienced increased production costs. The primary area of concern identified by management is direct labor. The company is considering adopting a standard cost system to help control labor and other costs. Useful historical data are not available because detailed production records have not been maintained. To establish labor standards‚ Geeta & Company has retained an engineering consulting firm. After a complete study of the work process‚ the consultants recommended
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by a cost account manager‚ who has received a variance report (given below) from a performance measurement system. I have calculated the appropriate variances and included corrective measures for each of them. REPORT Variances are calculated as follows: CV (cost variance) = BCWP – ACWP SV (schedule variance) = BCWP - BCWS TASK A B C D E ACWP $22‚550 $32‚000 $16‚000 $10‚000 $23‚000 BCWP $25‚000 $30‚000 $15‚000 $17‚000 $24‚000 Cost Variance $2‚450 -$2‚000 -$1‚000 $7000 $1000 BCWS $30
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as good as a company’s capacity to implement it effectively. But most importantly‚ many employees see the new system as an end in itself‚ instead of a means to an end. The way standards are formulated play a crucial role in the results of these variances. For instance‚ management decided to use the sales forecasts based on what they made and incurred in the previous year. This would normally be the case‚ if the company had limited growth prospects. Reporting in aggregate may not allow a company to
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successful year (year 7)‚ Competition spent $32‚760 on advertising. This dropped to $27‚428 the next year. If we only increase the budget by $984‚ you can only expect minimal increases of sales as a result. A2. Evaluation Of Flexible Budget and Variances A flexible budget is a budget that adjusts different variable costs based on the volume of activity. This budget is better than a static budget‚ because you can adjust it due to the actual needs of the company. For example‚ if we experience
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