CONFIDENTIAL CS/SEPT 2014/QMT339 UNIVERSITI TEKNOLOGI MARA FINAL LAB TEST COURSE : SPREADSHEET MODELING AND DECISION ANALYSIS COURSE CODE : QMT339 EXAMINATION : SEPTEMBER 2014 TIME : 3 HOURS NAME : ____________________________________________________________ GROUP : ____________________ STUDENT ID LECTURER : ____________________________________________________________ : _________________________ INSTRUCTIONS TO CANDIDATES 1. 2. This question paper consists of two part: PART
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The current report serves the purpose of analyzing strengths and weaknesses of existing DOS-based POS terminals used by Zara and providing recommendations as to whether an upgrade is necessary. Methods of analysis include decision tree and SWOT-matrix‚ cost analysis‚ risk assessment‚ along with expert opinions summary from IT-consultants in retail industry. Even though the old POS terminals are easy to install and stable to operate‚ they impose limitations on data interchange capabilities
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appropriate To introduce some widely used quantitative models To introduce software for solving such models. 2 Must-Read Article Inventory • • • • “Decision trees”‚ Robin Greenwood (HBR‚ March 2006) “Note on Linear Programming”‚ Jonathan Eckstein (HBR‚ November 1992) “Sampling and Statistical Inference”‚ Arthur Schleifer (HBR‚ August 1996) “Decision Analysis”‚ (HBR‚ December 1997) 3 Widely used Books for Quantitative Methods • Dance with Chance • Black Swan 4 QUANTITATIVE METHODS CASE
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Assignment 1 - Problem-3 –Chapter-1 of Discovering Knowledge in Data For each of the following meetings explain which phase in CRISP-DM process is represented: a. Managers want to know by next week whether deployment will take place. Therefore analysts meet to discuss how useful and accurate their model is. This is the Evaluation phase in the CRISP-DM process. In the evaluation phase the data mining analysts determine if the model and technique used meets business objectives established in
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an error in the storage systems hosting the data‚ depend on the criticality of the image and the decision tree for which it is being used. An incomplete (lack of detail) image containing crucial referential data can result in decisions being made based on a number of dangerous false positives or false negatives. The following examples‚ illustrate the significant risk from making such decisions based on critical images‚ and possible risks if the appropriate controls are not implemented to avoid
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capacity planning Strategic importance of capacity planning Measuring capacity Economies and diseconomies of scale Determining capacity requirements Use of decision trees in capacity decisions Service capacity management 1 2 2 2 3 4 4 5 Section two — facility location Competitive imperatives impacting on location decision Location decision and location factors Service versus industrial locations Location methods for industrial and service companies Factor rating methods Linear programming Transportation
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team. Correct identification of CCPs requires a logical approach and may be aided by the use of a decision tree. Each step in the process must be considered in turn for each of the identified significant hazards. Care is needed in the use of decision trees. A number of decision trees have been published‚ some of which have been concerned specifically with the raw materials and ingredients. The decision tree used and the answers to it should be recorded within the HACCP
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ADVANCED General Certificate of Education January 2014 assessing Making Business Decisions [AT211] AT211 Assessment Unit A2 1 *AT211* Business Studies WEDNESDAY 15 JANUARY‚ MORNING TIME 2 hours. INSTRUCTIONS TO CANDIDATES Write your Centre Number and Candidate Number on the Answer Booklet provided. Answer all questions. INFORMATION FOR CANDIDATES The total mark for this paper is 80. Quality of written communication will be assessed in Questions 5 and 6. Figures in brackets printed down the
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I. Decision Trees Bee’s Nest Inter Prize is a company that manufactures adhesives that are used in tapes and glues. Currently‚ they are thinking of a business proposition of opening another branch in the province in order to increase their market and gain more sales. Currently‚ their revenue is backed up with a good market demand giving them approximately P10‚000 income with high demand and they will incur a loss of P500 on times when demand is low due to the fixed costs of the company. Probability
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difference‚ and from validation to test error there is a 14.05% error difference. Based on the lift chart‚ the model appears to make a difference even though the loan acceptance has a 82% error rate for the test classification matrix. 9.3 i. Compare the tree generated by the CT with the one generated by the RT. Are they
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