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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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    International distribution

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    MODEL CONTRACTS FOR SMALL FIRMS LEGAL GUIDANCE FOR DOING INTERNATIONAL BUSINESS © International Trade Centre‚ August 2010 Model Contracts for Small Firms: International Distribution of Goods Contents Foreword Acknowledgements Introduction Chapter 1 International Contractual Alliance Introduction ITC Model Contract for an International Contractual Alliance Chapter 2 International Corporate Joint Venture Introduction ITC Model Contract for an International Corporate

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    Tuna Manufacturing

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    the best equities of all time. Warren Buffett of Berkshire Hathaway is a big investor. This should at least somewhat ease concerns from retail investors about the long-run viability of the company. Wal-Mart has created one of the most efficient distribution networks in retail‚ which helps enable it to be the "low cost leader." Thailand people give more value to western market then their own local market‚ so it will be easy start for western market to introduce in Thailand. b) Weakness Wal-Mart’s

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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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    Just in Time Distribution

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    Just-In-Time Distribution and Barilla SpA Anybody who knows something about business had heard the term Just-in-time (JIT) inventory. It involves producing only what is need‚ when it is needed. The principle of Just in time is to eliminate sources of manufacturing waste by getting the right quantity of raw materials and producing the right quantity of products in the right place at the right time.(1) In this way‚ manufactures receive parts and materials "just in time" to meet the day’s manufacturing quota

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    Room Division

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    describe a range of accommodation and reception services for different organization The accommodation can be divided into two general areas: Housekeeping Engineering The reception can be divided into five general areas: Front desk Bell service Mail and information Concierge Cashier and night auditors The aim of all accommodation is to provide their customers with clean‚ attractive‚ comfortable‚ and welcoming surroundings that offer

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    Toothbrush Manufacturing

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    invented the first toothbrush by attaching bristles from pigs’ necks onto a bamboo handle. The design was adapted by Europeans‚ who modified the design using soft horsehairs. Process selection In this case injection molding process is considered for manufacturing the brush handle and followed by other processes to complete entire the tooth brush First‚ The Materials Are Gathered The handles are made out of plastic and the bristles are made out of natural boar or synthetic fibres such as nylon.. The Handles

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    Probability distribution

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    expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation  is the square root of the variance. Expectation - The expected value (or mean) of X‚ where X is a discrete random variable‚ is a weighted average of the possible values that X can take‚ each value

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    Probability Distribution

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    Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)

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    Manufacturing Strategy

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    Manufacturing Strategy – MBA 622 Instructor Prof. R.R.K. Sharma rrks@iitk.ac.in Office : FB326‚ Residence H.No. 643‚ IIT‚ Campus Kanpur – 208 016 COURSE OBJECTIVES Most of our students (B Tech and MBA) are engineers in various disciplines. It is natural that they develop their career in the “Manufacturing Function” of organizations they join. This course prepares them to take up the responsibilities as the “Manufacturing Chief” or the “Manufacturing Vice President” of the company. Briefly

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