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    Special Probability Distributions Chapter 8 Ibrahim Bohari bibrahim@preuni.unimas.my LOGO Binomial Distribution Binomial Distribution In an experiment of n independent trials‚ where p is a the probability of a successful outcome q=1-p is the probability that the outcome is a failure If X is a random variable denoting the number of successful outcome‚ the probability function of X is given P X  r  nCr p r q nr Where q=1-p r=0‚1‚2‚3‚….. X~B(n‚p) The n trials

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    Alberto Barreto Final Textual Analysis Essay Caring for the Neighbor In the movie “Thank you for smoking”‚ big companies are seen as having no social responsibility with its consumers and the people that are affected by their products when they clearly know the negative effects and impacts that their products have in society. The big companies in the movie are the ones that belong to the tobacco industry and concentrate in the cigarette business. These companies are shown as not caring for

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    Table of Contents Introduction - Background - History - Purpose / Objective………………………………………………....3 Methodology………………………………………….………………4 Case Analysis: - Financial Status - The Industry: Market Segmentation SWOT analysis…….……...……………………..…………….5 I. Introduction Background: To most‚ Philip Morris (PM)‚ is only known as a dominant force in the manufacturing and marketing of cigarettes. However‚ over the past thirty years‚ as a result of numerous acquisitions and diversification

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    GEMA 5400 | Brunswick Distribution Inc | Case Analysis | | | | Table of Contents Introduction ………………………………………………………………..1 Executive Summary ……………………………………………………2 Application and Analysis ……………………………………………..3 Literature Review………………………………………………………….4 Conclusion……………………………………………………………………..5 Bibliography…………………………………………………………………..6 Appendix…………………………………………………………………………7 INTRODUCTION Brunswick Distribution started as a small distribution company 10 years ago when

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    #1 True or false: Even if the sample size is more than 1000‚ we cannot always use the normal approximation to binomial. Solution: If a sample is n>30‚ we can say that sample size is sufficiently large to assume normal approximation to binomial curve. Hence the statement is false. #2 A salesperson goes door-to-door in a residential area to demonstrate the use of a new Household appliance to potential customers. She has found from her years of experience that after demonstration‚ the

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    Question 1 The following table gives the classification of the amount paid  and the method of payment at a department store. Cash Credit Debit Total < $20 10 8 6 24 $20 - $100 15 25 10 50 Over $100 5 15 6 26 Total 30 48 22 100   a) Find the probability that the amount paid is < $20 Answer: P(<$20) =   b) Find the probability that the method of payment is credit Answer: P(Credit) =    c) Find the probability that the amount is <$20 and the method of payment

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    Chapter 6 Continuous Probability Distributions Case Problem: Specialty Toys 1. Information provided by the forecaster At x = 30‚000‚ [pic] [pic] Normal distribution [pic] [pic] 2. @ 15‚000 [pic] P(stockout) = 1 - .1635 = .8365 @ 18‚000 [pic] P(stockout) = 1 - .3483 = .6517 @ 24‚000 [pic] P(stockout) = 1 - .7823 = .2177 @ 28‚000 [pic]

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    Sean Worang Sustainability 04/19/12 Runa Supply Chain I. Farmers Runa has worked with about 3000 to 4500 Guayusa farmers in the Amazon in regards to the supply and distribution of Guayusa leafs. The result of surveys (done by Runatarpuna) shows that by incorporating above 3000 to 4500 farmers Runa can generate about 16000 pounds/ month and can potentially generate about $17.2 per year projections. II. Runatarpuna Runatarpuna is Runa LLC’s fully owned export subsidiary‚ to manage

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    F-distribution: A continuous right-skewed statistical distribution also Known as Snedecor’s F distribution or the Fisher - Snedecor distribution ( After R.A. Fisher and George W. Snedecor)(2) which arises in the testing of whether two observed samples have the same variance. (1) Note that three of the most important distributions (namely the normal distribution‚ the t distribution‚ and the chi-square distribution) may be seen as special cases of the F distribution: (3) Example: We want to

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    LocatingMiddlemen The search for prospective middlemen should begin with study of the market and determination of criteria for evaluating middlemen servicing that market. The company ’s broad policy guidelines should be followed‚ but expect expediency to override policy at times. The checklist of criteria differs according to the type of middlemen being used and the nature of their relationship with the company. Basically‚ such lists are built around four subject areas: (1) productivity or

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