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    Normal Distribution

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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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    Normal Distribution

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    NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard

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    Distribution Channel

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    A channel of distribution can be defined as the collection of organizational units‚ institutions‚ or agencies within or external to the manufacturer‚ which perform the functions that support product marketing. The marketing functions are pervasive: they include buying‚ selling‚ transporting‚ storing‚ grading‚ financing‚ bearing market risk‚ and providing marketing information. Any organizational unit‚ institution‚ or agency that performs one or more of the marketing functions is a member of a channel

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    Introduction Organizations with decentralized operations structures typically divide their operations into cost or profit centers. It is a management and strategic decision for companies to decide which divisions should be cost centers and which ones should be profit centers. . A cost center may actually provide services that could generate a profit if they were offered on the open market. But in most corporate environments‚ cost centers are not expected to generate a profit and operation costs

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    Distribution Channel

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    FACTORS INFLUENCING CHOICE OF DISTRIBUTION CHANNEL IN THE TOURISM INDUSTRY IN KENYA. A SURVEY OF TOUR AND TRAVEL COMPANIES IN NAIROBI BY DECLARATION I declare that this is my original work and has not been submitted at any academic institution for examination purposes. Signed…………………………………………..Date……………………………………….. ROSE This Research Proposal has been submitted with my approval as the University Supervisor. Name…………………………………….. Designation………………………………………

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    Distribution Channel

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    (I) INTRODUCTION A channel of distribution or trade channel is defined as the path or route along which goods move from producers or manufacturers to ultimate consumers or industrial users. In other words‚ it is a distribution network through which producer puts his products in the market and passes it to the actual users. This channel consists of :- producers‚ consumers or users and the various middlemen like wholesalers‚ selling agents and retailers(dealers) who intervene between the producers

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    Normal Distribution

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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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    Poisson 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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    Distribution Strategy

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    presentation is to discuss the theory of distribution strategy with the underlying real life examples of McDonald ’s fast-food restaurants in Australia. In other words‚ the aim is to discuss McDonald ’s distribution channel‚ the way this fast-food restaurant gets its products to the market. Nonetheless‚ this presentation will demonstrate that McDonald ’s distribution strategy is effective in many cultures. In the theory of marketing mix‚ place (distribution) determines where the product will be sold

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    Strategic Alliances in Distribution Cininta Meirinda Clara Sarah Patricia Adam  Their nature and their motives for creating strategic alliances  Building commitment by creating mutual vulnerability  Building commitment by the management of daily interactions  Decision structures that enhance trust  Moving a transaction through stages of development to reach alliances status  What does it takes and when does it pays to create a marketing channel alliance? STRATEGIC ALLIANCES

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