Statistics: • Science of gathering‚ analyzing‚ interpreting‚ and presenting data • Measurement taken on a sample • Type of distribution being used to analyze data Descriptive statistics: Using data gathered on a group to describe or reach conclusions about that same group only. Descriptive statistics are the tabular‚ graphical‚ and numerical methods used to summarize data. Collect‚ organize‚ summarize‚ display‚ analyze Eg: According to Consumer Reports‚ General Electric washing machine
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supply chain evolution is characterized by both increasing value added and cost reductions through integration. A supply chain can be classified as a stage 1‚ 2 or 3 network. In a stage 1–type supply chain‚ systems such as production‚ storage‚ distribution‚ and material control are not linked and are independent of each other. In a stage 2 supply chain‚ these are integrated under one plan and is ERP enabled. A stage 3 supply chain is one that achieves vertical integration with upstream suppliers
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Chapter Chapter Systems and Transportation 22 Services Physical Distribution • Section 22.1 Transportation Systems and Services • Section 22.2 Inventory Storage Key Terms physical distribution transportation common carriers contract carriers private carriers exempt carriers ton-mile carload freight forwarders Transportation Systems and Services Objectives Describe the nature and scope of physical distribution Identify transportation systems and services that move products from manufacturers to
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References: A.T. Kearney’s Retrieved On November 11‚ 2012 http://www.atkearney.com http://www.albanyhardware.com Spiro‚ R. L.‚ Rich‚ G. A.‚ & Stanton‚ W. J. (2012). Management of a sales force. (12th ed.). McGraw-Hill
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C H A P T E R 6 The Normal Distribution Objectives Outline After completing this chapter‚ you should be able to 1 2 3 Identify distributions as symmetric or skewed. 4 Find probabilities for a normally distributed variable by transforming it into a standard normal variable. Introduction 6–1 Normal Distributions Identify the properties of a normal distribution. Find the area under the standard normal distribution‚ given various z values. 5 Find
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perform a distribution function. The distribution function is vital to the economic well-being of society because it provides the goods and services desired by the consumer. Economists often describe the value of distribution in terms of ownership‚ place‚ and time utility. The marketer contributes to the product’s value by getting it to the right place at the time the consumer wants to buy it and by providing the mechanism for transferring ownership. Firms that do not perform the distribution function
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Normal Distribution Normal distribution is a statistics‚ which have been widely applied of all mathematical concepts‚ among large number of statisticians. Abraham de Moivre‚ an 18th century statistician and consultant to gamblers‚ noticed that as the number of events (N) increased‚ the distribution approached‚ forming a very smooth curve. He insisted that a new discovery of a mathematical expression for this curve could lead to an easier way to find solutions to
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El Paso and gradually built a customer base throughout Texas. A distribution center was established in Ft. Worth‚ Texas later‚ as business expanded to the north; a second distribution center was established in Santa Fe‚ New Mexico. The El Paso plant was expanded when the company began marketing its meters in Arizona‚ California‚ Nevada‚ and Utah. With the growth of the West Coast business‚ the Darby Company opened a third distribution center in Las Vegas and just two years ago opened a second production
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DISTRIBUTION AUTOMATION Abstract— This White Paper on‚ “Power systems” addresses the working process‚ benefits and challenges of implementing Distribution Automation in electrical power distribution sector. The demand for electrical energy is increasing every day. Today over 24% of total electrical energy generated in India is lost in transmission (6%) and distribution (18%). The electrical power deficit in country is currently about 18%. Therefore reduction in distribution
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The Poisson distribution is a discrete distribution. It is often used as a model for the number of events (such as the number of telephone calls at a business‚ number of customers in waiting lines‚ number of defects in a given surface area‚ airplane arrivals‚ or the number of accidents at an intersection) in a specific time period. It is also useful in ecological studies‚ e.g.‚ to model the number of prairie dogs found in a square mile of prairie. The major difference between Poisson and Binomial
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