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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Five Ps for strategy Henry Mintzberg (1996) * Mintzberg‚ H. (1996) ’Five Ps for Strategy1 in Mintzberg‚ H. and Quinn‚ J. B. (1996) The Strategy Process‚ London‚ Prentice Hall. Originally published in extended form in California Management Review (Fall 1987). * Human nature insists on a definition for every concept. * Strategy has long been used implicitly in different ways even if it has traditionally been defined in only one. * Explicit recognition of multiple definitions can
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| Pricing and Distribution Strategies | SUO Mkt3010 | Dr. Darlene Jaffke | Linda Taylor | 10/13/2012 | At this time‚ Taylor Trucking has established contracts with various manufacturers in the regional area. The industry standard of pricing based on miles per thousand pounds of product will continue in this company for the rates charged for shipments. The customer will also be responsible for any fuel surcharge that will be based on miles travelled. Taylor Trucking’s low overhead will
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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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Samsung marketing strategy in china Nowadays‚ China’s communication industry is developing rapidly‚ and China has become the biggest mobile phone market all over the world. There are many international renowned mobile phone manufactures and local producers in this market and these companies are competing fiercely in China’s mobile phone industry. It is known that‚ in 1999‚ when the domestic mobile phone brands entered the mobile phone market‚ few people had expected that the domestic mobile
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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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The Poisson probability distribution‚ named after the French mathematician Siméon-Denis. Poisson is another important probability distribution of a discrete random variable that has a large number of applications. Suppose a washing machine in a Laundromat breaks down an average of three times a month. We may want to find the probability of exactly two breakdowns during the next month. This is an example of a Poisson probability distribution problem. Each breakdown is called an occurrence in Poisson
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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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SPSS: Grouped Frequency Distribution FIRST STEP: Under the Transform menu‚ choose Visual Binning… This command assists you in creating a new variable that groups the data. You will then use the new variable to create a grouped frequency distribution. • From the Variables list box‚ click on wt (weight) and then on the arrow to move it to the Variable to Band list box. Click Continue. • Select wt in the left box. Near the top of this dialog box‚ enter a name for your new variable (such
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•H.P.Gautam The purpose of this article is not to explain any more the usefulness of normal distribution in decision-making process no matter whether in social sciences or in natural sciences. Nor is the purpose of making any discussions on the theory of how it can be derived. The only objective of writing this article is to acquaint the enthusiastic readers (specially students) with the simple procedure ( iterative procedure) for finding the numerical value of a normally distributed variable. The
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