THE ACCOUNTING EQUATION The accounting equation can be described as of the basis of accounting. This is because it describes the double entry principle of book-keeping. It is a representation of how funds are raised to finance Assets. The equation is illustrated below: Asset = Capital + Liabilities For example‚ a girl needs to buy a laptop costing £500. She already had £250 in personal savings and then took a loan of £250 from her boyfriend. Here is the equation again: Asset Capital
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TO: Board of Directors‚ Linear Technologies FROM: Mr. Paul Coghlan CFO‚ Linear Technologies RE: Dividend Policy Summary: Based on the financials to date and the forward looking capital investments required Linear should increase their dividend payout by $0.01 per share. Entering the fourth quarter of 2003 the market seems to show continued signs of improvement. The company has shown steady growth and revenues are forecasted to exceed 2002’s by 19%. The forecast shows net income coming in
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The development of linear programming has been ranked among the most important scientific advances of the mid 20th century. Its impact since the 1950’s has been extraordinary. Today it is a standard tool used by some companies (around 56%) of even moderate size. Linear programming uses a mathematical model to describe the problem of concern. Linear programming involves the planning of activities to obtain an optimal result‚ i.e.‚ a result that reaches the specified goal best (according to the mathematical
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684 ICAL 2009 – POSTER PAPERS Abstract Management Information Systems are tools designed to improve management decisions. A changing user population‚ technology enhancement transformation of scholarly communication system‚ digital libraries‚ new approaches to management‚ renewed commitment to planning and assessment‚ financial constraints‚ declining budget‚ information gluts‚ constant change in IT ‚web services‚ reader’s expectations for 24 x 7 services‚ time shortage etc are compelling
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Development of an Equation Maggie Purpose: Investigate a chemical reaction using lab procedures and observations. Then‚ find a pattern of reactivity and explain the findings using a chemical equation and particle diagram. Procedure: Refer to: Department of Chemistry‚ The Ohio State University. "Development of an Equation." General Chemistry 1210 Laboratory Manual. Vol. 2013-2014. Plymouth: Hayden-McNeil. 32-35. Data/Results: Part A: In the potassium iodide solution‚ I think there were potassium
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spreadsheet‚ next step is to use the Solver to find the solution. In the Solver‚ we need to identify the locations (cells) of objective function‚ decision variables‚ nature of the objective function (maximize/minimize) and constraints. Example One (Linear model): Investment Problem Our first example illustrates how to allocate money to different bonds to maximize the total return (Ragsdale 2011‚ p. 121). A trust office at the Blacksburg National Bank needs to determine how to invest $100‚000 in following
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Chapter 8 Linear Programming Applications To accompany Quantitative Analysis for Management‚ Eleventh Edition‚ Global Edition by Render‚ Stair‚ and Hanna Power Point slides created by Brian Peterson Copyright © 2012 Pearson Education 8-1 Learning Objectives After completing this chapter‚ students will be able to: 1. Model a wide variety of medium to large LP problems. 2. Understand major application areas‚ including marketing‚ production‚ labor scheduling‚ fuel blending‚ transportation‚ and
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Department of MECH an ica l.in Paavai Institutions ch UNIT II ww w. me LINEAR AND ANGULAR MEASUREMENTS UNIT-II 2. 1 Department of MECH CONTENTS LINEAR MEASURING INSTRUMENTS 2.1.1 SCALES 2.1.2 CALIPERS 2.1.3 VERNIER CALIPERS 2.1.4 MICROMETERS 2.1.5 SLIP GAUGES 2.3 LIMIT GAUGES 2.4 PLUG GAUGES 2.5 TAPER PLUG GAUGE 2.6 RING GAUGES 2.7 SNAP GAUGE 2.8 TAYLOR’ S PRINCIPLE 2.9 COMPARATORS
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linear regression In statistics‚ linear regression is an approach to model the relationship between a scalar dependent variable y and one or more explanatory variables denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable‚ it is called multiple linear regression. (This term should be distinguished from multivariate linear regression‚ where multiple correlated dependent variables are predicted‚[citation needed] rather than a single
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Example 6.4: Application of General Equation for a Closed System Question A gas is contained in a cylinder fitted with a movable piston as presented in Figure E6.4.1. Figure E6.4.1: A cylinder fitted to a moving piston If the cylinder is placed in boiling water with the piston held in a fixed position‚ 5 kcal of heat is absorbed by the gas‚ which equilibrates at 150oC and a higher pressure. The piston is then released‚ and the gas does 250 J of work in moving to its new equilibrium position
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