ITEM ANALYSIS Facilitator: Marelen H. Amanuence Item analysis is a process which examines student responses to individual test items (questions) in order to assess the quality of those items and of the test as a whole. 1) Item Difficulty(Di) The percentage of pupils who got the item right 2) Item Discriminating Power (Dp) Indicates the difference between high and low achievers Item analysis procedures for classroom test 1. Score the papers and rank them from highest to lowest. 2. Separate
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Chapter 7 Inventory Management ◊Distinguish dependent from independent demand inventories ◊Describe the four basic types of inventories and their functions ◊Understand the costs of inventory and inventory turnovers ◊Understand ABC classification‚ ABC inventory matrix and cycle counting. ◊Know RFID and how it can be used in inventory management ◊Understand the EOQ model and its underlying assumptions ◊Understand the Quantity Discount and the EMQ Models and their relationships with the basic EOQ model
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Forecasting Methods Forecasting demand is not an easy task. The market is constantly changing and it makes the product demand difficult to predict. Therefore‚ there is not such as perfect product forecast of what customers will need in the future. However‚ there are several methods that help attenuating the uncertainty of forecasting demand. Since‚ the forecast methods or techniques differ from one another; the objective is to compare and contrast several forecasting methods‚ and how they are
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Incentives: from the case‚ the SEC staff claimed that the top Waste Management officers’ fraudulent conduct was driven by greed and a desire to retain their corporate positions and status in the business and social communities. Their bonuses‚ retirement benefits and stock options closely correlate with the performance of the company. If the company meets predetermined earnings targets‚ those top managements will earn a lot from profit sharing. Furthermore‚ aside from money‚ those people can maintain
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Coffee Bean ST. GREGORY’S UNIVERSITY Coffee Bean‚ Inc. Managerial Accounting‚ BU2123‚ Research Project‚ Spring 2007 Coffee Bean‚ Inc. (CBI) is a processor and distributor of a variety of blends of coffee. The company buys coffee beans from around the world and roasts‚ blends and packages them for resale. CBI currently has 40 different coffees that it offers to gourmet shops in one-pound bags. The major cost of the coffee is the raw coffee beans. However‚ there is a substantial amount of manufacturing
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Forecasting Techniques Forecasting is the methodology utilized in the translation of past experiences in an estimation of the future. The German market presents challenges for forecasting techniques especially for its retail segment. Commercially oriented organizations are used to help during forecasting as general works done by academic scientists are not easy to come across (Bonner‚ 2009). The qualitative method of forecasting is one in which an educated opinion of relevant individuals
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Foundation University Masters in Business Administration MBA 06a Managerial Accounting Report on Factory Overhead: Actual‚ Planned and Applied Submitted to: Engr. Marlon Tanilon Submitted by: Hazel R. Tanilon 04 February 2012 Factory Overhead • Defined as indirect material‚ indirect labor and other that cannot be conveniently identified with or charged
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of the industry High Inventory holding costs Growth achieved due to favorable pricing Innaccurate forecasting methods Several factors affect the future demand of Wilkins products‚ one of which is commercial and institutional construction activities. Furthermore seasonality‚ new building initiations‚ remodeling‚ the actual construction of homes and finally the product and price promotions are all key factors that play a big part when it comes to future demand forecasting. After thorough examination
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Barilla –Supply Chain Inventory Management Barilla TABLE OF CONTENTS EXECUTIVE SUMMARY 3 ISSUES IDENTIFICATION 3 ENVIRONMENTAL AND ROOT CAUSE ANALYSIS 3 ALTERNATIVES AND/OR OPTIONS 3 RECOMMENDATION AND IMPLEMENTATION: 3-4 Executive Summary: In an attempt to control inventory swings‚ reduce costs‚ and improve sales we have introduced the JITD initiative. This initiative has been a failure
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Unit-03-Technology Forecasting Structure: 3.1 Introduction Objectives 3.2 Concept of Technology Forecasting Characteristics of technology forecasting Technology forecast method Principles of technology forecasting 3.3 Technology Forecasting Process 3.4 Need and Role of Technology Forecasting 3.5 Forecasting Methods and Techniques 3.6 Planning and Forecasting 3.7 Summary 3.8 Glossary 3.9 Terminal Questions 3.10 Answers 3.11 Case Study 3.1 Introduction By now‚ we are familiar with
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