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    Normal Distribution

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    solve k = 20.275 d) P ( 17 < X < 21) P ( (17 -18)/2.5 < Z < ( 21-18)/2.5) P ( -0.4 < Z < 1.2) = 0.8849 – 0.3446 = 0.5403 ( 4 decimal places) 4. In a sample of 25 observations from a Normal Distribution with mean 98.6 and standard deviation 17.2‚ find: Ans: a) n = 25‚ [pic] = ( = 98.6‚ [pic] = /n = 17.2/(25 = 3.44 [pic]( N

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    Sampling Distributions

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    Simple random sample (SRS) In statistics‚ a simple random sample from a population is a sample chosen randomly‚ so that each possible sample has the same probability of being chosen. One consequence is that each member of the population has the same probability of being chosen as any other. In small populations such sampling is typically done "without replacement"‚ i.e.‚ one deliberately avoids choosing any member of the population more than once. Although simple random sampling can be conducted

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    Sales & Distribution

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    we will provide attractive schemes and high margins to intermediaries. As our product is non-perishable‚ So no specific or special storage facility is required. We have our own warehouses which can deliver within a day. We will follow a mix distribution channel. We “Msonice Bags” are looking for starting our business in Ahmedabad and are looking for intermediaries for the same. For this we have made a few criteria that the intermediaries must fulfil to the maximum possible level. The list

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    Distribution Management

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    Chapter 3: The Legal Aspects of Purchasing A need is requested by a specific department and the purchasing person satisfies the need. The potential source is evaluated in terms of quality‚ price‚ and delivery performance. The purchasing manager makes the purchase and the treasurer of the company sends the check after an invoice is received. However‚ the seller must know that the decision maker has given the purchasing manager the authority to make the purchase. This transaction is legally binding

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    ATLANTA-(Business Wire)-April 16‚ 2009 - Fanta Orange‚ the #1 fruit-flavored sparkling beverage in the U.S.‚ will now feature 100 percent natural flavors. But that’s not all the news – the entire Fanta line is also getting a bold new look that includes vibrant packaging with colorful illustrations and contemporary graphics. Both the new formulation and look for Fanta will roll out in the United States this month. The Fanta brand offers an assortment of bold‚ tantalizing flavors that are caffeine

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    Revision of DTM for chapter 1 &amp; 2 Function of physical distribution management and distribution channels 1) Definition of physical distribution management – Used in manufacturing and commerce to describe the broad range of activities concerned w/ the efficient movement of finished products from end of production line to consumer. * Emphasizes the flow of materials from the point of manufacture industrial user * Implies the control of the flow End consumers Products supply &gt; Warehousing

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    Channel Distribution

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    PRELIMINARY EXAM IN CHANNEL MANAGEMENT CHANNEL MANAGEMENT HISTORY OF PROCTER & GAMBLE: Procter & Gamble Co.‚ also known as P&G‚ is an American multinational consumer goods company headquartered in downtown Cincinnati‚ Ohio‚ United States. Its products include pet foods‚ cleaning agents‚ and personal care products. Prior to the sale of Pringles to the Kellogg Company‚ its product line included foods and beverages.[2] In 2012‚ P&G recorded $83.68 billion in

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    Channels of Distribution

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    RETAIL HEARTBEAT Pulse Report: Channel blurring In a fiercely competitive environment‚ retailers can win market share by better addressing shoppers’ and consumers’ evolving needs. Faced with budget constraints and higher food and fuel prices‚ many shoppers are trimming basket size to save money while making more frequent trips to nearby drug‚ dollar and grocery stores‚ according to new analysis from SymphonyIRI Group. In turn‚ drug and dollar retailers have boosted their food and beverage offerings

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    Normal Distribution

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    A population of measurements is approximately normally distributed with mean of 25 and a variance of 9. Find the probability that a measurement selected at random will be between 19 and 31. Solution: The values 19 and 31 must be transformed into the corresponding z values and then the area between the two z values found. Using the transformation formula from X to z (where µ = 25 and σ √9 = 3)‚ we have z19 = (19 – 25) / 3 = -2 and z31 = (31 - 25) / 3 = +2 From the area between z =±2 is 2(0

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    Distribution of States

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    Should India be broken up into smaller states? After the decision to give statehood to Telangana‚ many analysts want a new States Reorganization Commission. India today has 28 states. Assuming 20% population growth since the last census‚ Uttar Pradesh has 198 million people‚ more than Brazil‚ Russia or Pakistan. Maharashtra has 106 million‚ West Bengal 96 million and Andhra Pradesh 90 million. All are much bigger than France or Britain. At the other end of the scale‚ Sikkim has just 0.6 million

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