1. Post Hoc In my community news‚ called Neighbor News‚ I was reading an article on a Saturday Morning called‚ “Follow All the Rules to Keep the Hounds Happy” (Kintish). This article talks of the Happy Hound Playground‚ a dog park in Denville‚ NJ. It discusses the rules and regulations that need to be followed for the benefit of the dogs’ and owners’ health. However‚ this is a post hoc fallacy‚ because the article title makes the reader believe that the dogs become happy if all the rules are followed
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In the article‚ Hurley mentions that “The sad state of the economy all goes back to the big increase in imports from China.” He doesn’t want to blame his own country for its problem‚ so he blames China for it. He is biased against China. Another example from the article of bias is when Anderson says that “Labor unions…. [have] caused higher prices and greater unemployment.” He is biased against labor unions‚ so he is blaming them for all the problems that the country is facing economically. These
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Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC‚ a process behaves predictably to produce as much conforming product as possible with the least possible waste. While SPC has been applied most frequently to controlling manufacturing lines‚ it applies equally well to any process with a measurable output. Key tools in SPC are control charts
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instead of in centralized warehouses. These small stockpiles are known as kanban‚ and the use of the kanban significantly lowers waste and enhances productivity on the factory floor. In addition to eliminating waste‚ lean manufacturing seeks to provide optimum quality by building in a method whereby each part is examined immediately after manufacture‚ and if there is a defect‚ the production line stops so that the problem can be detected at the earliest possible time. The lean manufacturing method
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Statistical Process Control Statistical Monitoring of Processes to Detect Special Causes of Variation Lecture Outline • • • • • • • Basics of Statistical Process Control Control Charts Control Charts for Attributes Control Charts for Variables Control Chart Patterns SPC with Excel Process Capability Statistical QA Approaches Statistical process control (SPC) • Monitors production process to prevent poor quality Acceptance sampling • Inspects random sample of product
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in the production process as well as in the product itself. Statistical Quality Control (SQC) is a set of statistical techniques intended to aid in the improvement of system quality.[i] DEFINITION The Statistical Control of Quality is application of statistical principles and techniques in all stages of design‚ production‚ maintenance and service. The phrase “statistical quality control” (SQC) refers to the application of statistical methods to monitor and evaluate systems and to determine whether
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percentage was similar: Of 14‚422 people who took certification exams‚ 9‚431 passed (65%). The 2009 success rate as of October was also in that neighborhood‚ with 6‚570 passing out of 9‚928 test-takers‚ or 66%. For a little more perspective‚ Figure 1 offers a look at the pass rates for ASQ’s 14 certifications. To ensure certifications remain relevant and up to date‚ ASQ revises each body of knowledge (BoK) every five years. Therefore‚ the pass rate for each certification in Figure 1 is based on data
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Process Capability Assessment Control Charts for Individual Measurements Cumulative-Sum control charts Control Charts for Large Sample . . Statistical Process Control - Part II IE 330‚ Spring 2013‚ Instructor: Yu-Ching Lee March 14‚ 2013 1 / 127 Process Capability Assessment Control Charts for Individual Measurements Cumulative-Sum control charts Control Charts for Large Sample Use of the histogram Process Capability Indices Statistical Assignment of Tolerances Loss
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CHAPTER Statistical Quality Control Before studying this chapter you should know or‚ if necessary‚ review 1. 2. Quality as a competitive priority‚ Chapter 2‚ page 00. Total quality management (TQM) concepts‚ Chapter 5‚ pages 00 – 00. 6 LEARNING OBJECTIVES After studying this chapter you should be able to 1 2 3 4 5 6 7 8 9 Describe categories of statistical quality control (SQC). Explain the use of descriptive statistics in measuring quality characteristics. Identify and describe causes
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Examination Paper: Supply Chain Management 5 IIBM Institute of Business Management IIBM Institute of Business Management Examination Paper MM.100 Statistical Quality Control Section A: Objective Type (30 marks) · This section consists of Multiple choice questions & Short Answer type questions. · Answer all the questions. · Part One questions carry 1 mark each & Part Two questions carry 4 marks each. Part One: Multiple choices: 1. If in a hall there are 18 persons then how many handshakes are possible
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