temperature of 1000K I assumed assumed that the ball bearing is cooled by radiation and convection to its surroundings. I decided to use 4th order Runge Kutta method to solve the problem. Objective To solve the first order nonlinear ordinary differential equations using numerical method. To understand the 4th order Runge Kutta method and its applications. Problem statement Steel ball bearing radius 0.02m‚ ρ = dT 7800kg/m3 A T 4 Ta4 mC dt The radiation equation is
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COMPARATIVE METHOD (COMPARISON APPROACH) Principle 1. The subject property is compared to similar properties that have recently been sold for capital value‚ or rented for rental value. 2. The underlying assumption is that if the subject property had been in competition with the comparable property‚ and‚ appealing to the same class of purchaser‚ it would have been in the same market and would have fetched the same price. 3. The principle of substitution is thus intrinsic to this approach
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it come? Common law‚ statute ‚ new rule? What’s the underlying public policy behind the rule? Are there social considerations? Which facts help prove which elements of the rule? Why are certain facts relevant? Shortcuts analyzing cases using the IRAC method Eric Mack 11/27/2005 www.EricMackOnline.com Step 3: Compare the facts to the rule to form the Analysis . How do these facts satisfy this rule? What types of facts are applied to the rule? How do these facts further the public policy underlying
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Theory of Errors and Least Squares Adjustment Huaan Fan ISBN 91-7170-200-8 Royal Institute of Technology (KTH) Division of Geodesy and Geoinformatics 100 44 Stockholm Sweden August 2010 Theory of Errors and Least Squares Adjustment Huaan Fan‚ PhD Royal Institute of Technology (KTH) Division of Geodesy and Geoinformatics Teknikringen 72‚ 100 44 Stockholm‚ Sweden Phone: +46 8 7907340 Fax: +46 8 7907343 E-mail: hfan@kth.se URL: http://www.infra.kth.se/impgg With 22 illustrations and 49
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Audit Sampling Using Statistical Methods Presented By: Abhishek Agrawal AUDIT SAMPLING • Application of an audit procedure to less than 100% of the items in a population – Account balance – Class of transactions • Examination “on a test basis” • Key: Sample is intended to be representative of the population. APIPA 2009 2 SAMPLING RISK • Possibility that the sample is NOT representative of the population • As a result‚ auditor will reach WRONG conclusion • Decision errors – Type
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CODE: BSBSLS501A UNIT NAME: Develop a sales plan Purposes of sales plan Sales plans are not only beneficial for the salesperson‚ but also for the other employees. From a top-level position (executive/management level)‚ a sales plan creates awareness of what the sales team is expected to achieve for the company. It also ensures the executive that the sales team is accountable to reaching specific‚ measurable goals for performance evaluation. The designed sales plan for DHILLON’S is to boost
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The Sales Budget The sales forecast provides the framework for the detailed planning presented in the master budget of an organisation. Based on planned strategies and its best business judgment‚ management converts a sales forecast into a sales plan through the commitment of resources and the establishment of control mechanisms. The sales budget provides an evaluative tool by presenting monthly indexes of volume of units and returns as hard targets for the sales team. Deviations from these indexes
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Tiffany Henault March 3rd‚ 2015 Quan901-CH2 Forecasting Lost Sales Case Study Section I: Summary Carlson Department store suffered heavy damage from a hurricane on August 31. As a result the store was closed for four months‚ September through December. Carlson is in dispute with its insurance company regarding the lost sales for the length of time the store was closed. Section II: Problem Identification Two issues to address are the amount of sales Carlson department store would have made if there
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Issues‚ Problems and Techniques involved in forecasting Sales of New Products James D. Jackson There are countless issues‚ problems‚ and considerations in forecasting for new product. First‚ we must understand what a sales forecast is and what is designed to do. A sales forecast is an educated guess of future performance based on sales and expected market conditions. The value of the forecast is that we can predict and prepare for the future objectively. The objective is to
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HTime series using Holt-Winters Forecasting Procedure Summary The Holt-Winters forecasting procedure is a simple widely used projection method which can cope with trend and seasonal variation. We can apply this method to lots of fields such as banking data analysis‚ investment forecasting‚ inventory controlling and so on. This paper shows us a practical banking credit card example using Holt-Winter method in Java programming for data forecasting. The reason we use Holt-Winter is that
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