Math 143 – ANOVA Analysis of Variance (ANOVA) 1 Recall‚ when we wanted to compare two population means‚ we used the 2-sample t procedures . Now let’s expand this to compare k ≥ 3 population means. As with the t-test‚ we can graphically get an idea of what is going on by looking at side-by-side boxplots. (See Example 12.3‚ p. 748‚ along with Figure 12.3‚ p. 749.) 1 Basic ANOVA concepts 1.1 The Setting Generally‚ we are considering a quantitative response variable as it relates to one or
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Awarding of grades has number of advantages over awarding of numerical marks. It considerably reduces inter and intra examiner variability in marking. It also takes care of imperfection of tools used for assessment. Statistical research in assessment techniques indicates that there is a possibility of variation of scores awarded to individuals to the extent of 5% to 15%. Putting students of similar potential in same ability bands (grades) automatically takes care of all these abbreviations in assessment
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competences. SFC planned to implement and strengthen its core by adopting EDI‚ RFID‚ and RTA (ready to assembly) to acquire more competitiveness on time by reducing time‚ improving the delivery of economic value to customers. Because of supply chain variability‚ shipments can be off schedule or delayed. Since 9/11‚ random security checks delay shipments. SFC’s global supply chain was getting lose its competitive edge and even faced shipment delays by as much as 40%. SFC was initially successful in their
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Logistics from a Historical Perspective R-Jay P. Quiambao‚ CIE Defining Logistics • The origin of the term logistics comes from the French word ―logistique‚‖ which is derived from ―loger‖ meaning quarters (as in quartering troops). 2 Defining Logistics • The practice of logistics in the military sector has been in existence for as long as there have been organized armed forces: – the supply‚ movement‚ and maintenance of an armed force both in peacetime and in battle conditions. 3 Logistics
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Statistical quality control (SQC) The application of statistical techniques to measure and evaluate the quality of a product‚ service‚ or process. Two basic categories: I. Statistical process control (SPC): - the application of statistical techniques to determine whether a process is functioning as desired II. Acceptance Sampling: - the application of statistical techniques to determine whether a population of items should be accepted or rejected based on inspection of a sample of those
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products disappears. * * Variability of orders received from retailers and suppliers are much larger than the variability in customer demand due to the bullwhip effect‚ this leads to: * Excessive inventories due to the need for large safety stocks * Larger and more variable production batches * Unacceptable service levels * Product obsolescence * Bullwhip effect: occurs when the demand order variabilities in the supply chain are amplified as they
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natural internal variability of the Earth’s climate. The study used two very different representations of natural variability. The first model assumed that the present climate has a short and finite memory‚ and is mostly determined by the recent past. The second model assumed that the climate’s internal variability has long memory and the present climate is influenced by all the previous years. The authors then incorporated each of these representations of natural variability with a statistical
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The Bullwhip Effect and Barilla SpA The Bullwhip Effect is an observed phenomenon in forecast-driven distribution channels where there is variability up the supply chain. Some of its causes are: Dependent demand processing Forecast Errors Adjustment of inventory control parameters with each demand observation Lead Time Variability (forecast error during replenishment lead time) Lot-sizing/order synchronization Trade promotion and forward buying Anticipation of shortages One way
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Analyzing and Interpreting Data Team X QNT/351 Analyzing and Interpreting Data The ultimate goal of descriptive statistics is to describe a set of data‚ identify patterns‚ and draw a conclusion‚ which enables an organization to make effective and informed decisions (McClave‚ Benson‚ & Sincich‚ 2011). The company‚ Ballard Integrated Managed Services (BIMS)‚ a support services company will leverage statistics to gather information on the company’s employees to analyze and identify patterns
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this demand data variability is the bullwhip effect. DEFINITION & CAUSES In 1990‚ executives at Proctor & Gamble noticed something odd about the ordering patterns for one of its most successful and well known products‚ Pampers diapers. Retail sales would always vary slightly from period to period‚ but this variability was not unusual or extreme in nature. However‚ upon moving up the supply chain and examining orders from distributors‚ Proctor & Gamble observed greater variability than what was
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