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    Motors needs to set up an efficient distribution system so that the products reach its consumers. In case of some perishable food products‚ physical distribution is a very important part of the whole business. The transportation of "Amul Butter" to the stores that sell "Amul Butter" is a big challenge. While transportation‚ the butter has to be stored properly‚ so that it does not get contaminated. To completely understand physical distribution‚ consider the case of "Amul Butter". Amul is made in

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    On Asymptotic Distribution Of Likelihood Ratio Test Statistic When Parameters Lie On The Boundary A Project Submitted To The Department Of Statistics University Of Kalyani‚ For Fulfillment Of M.SC 4th Semester Degree In Statistics. Submitted by Suvo Chatterjee Under the supervision of Dr. Sisir Kr. Samanta

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    Structuring Decisions Framework for Analyzing Risk 2 The North Star Concert North Star.xls Best Guess‚ Worst Case‚ Best Case; and Continuous Uncertainties 3 Engine Services‚ Inc. Quick Start Guide to Crystal Ball Analyzing Uncertainty‚ Probability Distributions‚ and Simulation Learning Module: Crystal Ball Litigate Demo Engine Services.xls Language of Probability Distributions and Monte Carlo Simulation 4 Taurus Telecommunications Corporation: A New Prepaid Phone Card Learning Module: Tornado

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    Gino Case

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    Gino SA: Distribution Channel Management 1. Should Gino proceed with the Feima project or not? Yes‚ Gino should proceed with Feima project. The direct benefits of doing Feima project are larger market share and better profit margin. Besides that‚ there are many other benefits: (1) having only distributors is very risky. It results lower bargaining power for Gino. Developing OEM accounts will help solving this problem; (2) increase industrial burner sales‚ which is Gino’s weakest area but most

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    TEM1116 Probability and Statistics Tri1 2013/14 Chapter 1 Chapter 1: Discrete and Continuous Probability Distributions Section 1: Probability Contents: 1.1 1.2 1.3 1.4 1.5 Some basics of probability theory Axioms‚ Interpretations‚ and Properties of Probability Counting Techniques and Probability Conditional Probability Independence TEM1116 1 TEM1116 Probability and Statistics Tri1 2013/14 Chapter 1 1.1 Basics of Probability Theory Probability refers to the study

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    Case 3

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    drug-delivery technologies to improve the clinical effectiveness of medicines. Biovail commercialised it product in Canada and international area in all aspects of pharmaceutical products which is development‚ manufacture‚ marketing‚ licensing‚ and distribution of pharmaceutical products for the treatment of chronic medical conditions. Its major production facility was located in Steinbach‚ Manitoba‚ Canada. Biovail receive bad impact when one of the trucks carrying a shipment of Wellbutrin XL was involved

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    consecutive points falling on one side of the centerline When the process is in statistical control‚ find the false alarm probability (Type-I error) for each case. The corresponding probability measures are obtained from the Normal table as P(3 " Z) = 0.00135 P(2 " Z) = 0.02275 P(1 " Z) = 0.1587 Solution: ! i) Use the Binomial distribution to ! calculate the probability measures. ! 3! 3! P(Y ! 2 n = 3‚ p = 0.02275) = (0.02275)2 (1" 0.02275) + (0.02275)3 = 0.00153 2!1! 3!0! Type-1 Risk

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    STA1101 Normal Distribution and Continuous random variables CONTINUOUS RANDOM VARIABLES A random variable whose values are not countable is called a _CONTINUOUS RANDOM VARIABLE._ THE NORMAL DISTRIBUTION The _NORMAL PROBABILITY DISTRIBUTION_ is given by a bell-shaped(symmetric) curve. THE STANDARD NORMAL DISTRIBUTION The normal distribution with and is called the _STANDARD NORMAL DISTRIBUTION._ Example 1: Find the area under the standard normal curve between z = 0 and z = 1.95 from z

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    > data=read.table("d:/111113/1.txt"‚header=T) > model1=lm(S~u_direction+mx+my+mz‚data) > summary(model1) Call: lm(formula = S ~ u_direction + mx + my + mz‚ data = data) Residuals: Min 1Q Median 3Q Max -11.8430 -0.3962 0.3252 0.7887 18.3963 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.50372 0.12738 -3.955 7.93e-05 *** u_direction -0.40368 0.07996 -5.048 4.85e-07 *** mx -0.40573 0

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    Case Study

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    Part 2 Case 4 Question 4 – What are some other opportunities for partnerships between retailers and their suppliers in China? Chinese companies can easily transition into multiple channels by creating partnerships with their suppliers. They can advertise and sell products on their supplier’s website and through their other distribution channels. A partnership would also enable the company to sell their products at a cheaper price because they are getting things from their supplier for less and

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