Binomial‚ Bernoulli and Poisson Distributions The Binomial‚ Bernoulli and Poisson distributions are discrete probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values. This list has either a finite number of members‚ or at most is countable. * Binomial distribution In many cases‚ it is appropriate to summarize a group of independent observations by the number of observations in the group that represent one of
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So‚ Tata 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
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AMA470 Midterm exam March 5‚ 2010 Please show full working out in order to obtain full marks. 1. Suppose that: • The number of claims per exposure period follows a Poisson distribution with mean λ = 110. • The size of each claim follows a lognormal distribution with parameters µ and σ 2 = 4. • The number of claims and claim sizes are independent. (a) Give two conditions for full credibility that can be completely determined by the information above. Make sure to define all terms in your definition
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skewed-right distribution with a mean of 10 minutes and a standard deviation of 8 minutes. Suppose 100 flights have been randomly sampled. Describe the sampling distribution of the mean waiting time between when the airplane taxis away from the terminal until the flight takes off for these 100 flights. a) Distribution is skewed-right with mean = 10 minutes and standard error = 0.8 minutes. b) Distribution is skewed-right with mean = 10 minutes and standard error = 8 minutes. c) Distribution is approximately
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Discrete and Continuous Probability All probability distributions can be categorized as discrete probability distributions or as continuous probability distributions (stattrek.com). A random variable is represented by “x” and it is the result of the discrete or continuous probability. A discrete probability is a random variable that can either be a finite or infinite of countable numbers. For example‚ the number of people who are online at the same time taking a statistics class at CTU on
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Sales & Distribution Hindustan unilever - Document Transcript 1. December SALES & DISTRIBUTION NETWORK OF HINDUSTAN UNILEVER 21‚ 2008 Sales & Distribution Network of Hindustan Uni Lever (HUL)- DOVE bathing Soap (Region: Kolkata) A marketing channel performs the work of moving goods from producers to consumers. It overcomes the time‚ place‚ and possession gaps that separate goods and services from those who need or want them. Members of the marketing channel perform a number of key functions like
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root or below-ground biomass in grassland is greater than biomass of above-ground of litter and standing live which is in total on 32.89 per cent if compare to roots biomass about 67.11 per cent. Graph: Graph show the differentiation on biomass distribution in grassland according to its components From the graph‚ it show clearly the distinct differentiation of above-ground and below-ground biomass. 2) Forest Species | Dbh‚ cm | Component | Biomass‚ kg | Biomass‚ kghaˉ¹ | Acacia mangium
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of this course will provide students with a working knowledge of the principles of statistics‚ the ability to analyze and solve problems involving probability‚ and a working knowledge of averages and variations‚ normal probability distributions‚ sampling distributions‚ confidence intervals and testing statistical hypotheses. The emphasis of the course will be on the proper use of statistical techniques and their implementation rather than on mathematical proofs. (Prerequisite: MATH110 formerly MA112)
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Distribution Management | Distribution Requirements Planning | Concept and analysis of DRP | | * Introduction: DRP system became famous in the 1970s‚ because companies started to notice the need for a strong system to help in resource replenishment to be able to fulfill customers demand in a timely manner. DRP refers to distribution requirements planning‚ in which you plan the best product for your customers‚ its quantity‚ location‚ and time required to be present‚ in order to
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(10 points) 3. Suppose that a random sample of size 64 is to be selected from a population having [pic] and standard deviation 5. (a) What are the mean and standard deviation of the [pic] sampling distribution? Can we say that the shape of the distribution is approximately normal? Why or why not? (10 points) (b) What is the probability that [pic] will be within 0.5 of the population mean? (5 points) (c) What is the probability that [pic] will differ
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