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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Company Profile Taiba Engineering Consultants (TEC) is a MEP consulting engineering firm that specializes in proactive design of (HVAC) Heating Ventilation & Air conditioning‚ Plumbing‚ Fire Protection‚ Fire Alarm‚ Power and Lighting systems for commercial‚ educational and residential structures. Our staff is comprised of IGBC-AP’s [‘Indian Green Building Council Accredited Professionals’]‚ Engineers and designers that have over 12+ years of collective experience in the design and construction
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In addition‚ they state that in the residential case the peak generation often coincides with when there is low local load. In a distribution system the conductor often changes to reflect the loading it serves (smaller further down the network). This can result in areas where the low voltage network is weak in terms of ability to cope with distribution generation injection of power. Moreover‚ they also said that the impact of poor power quality on the electrical supply network is often insidious
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IEEE Power Engineering Society Publication Guide January 2001 Part 4: Example of Formatted Technical Work Prepared for the IEEE Power Engineering Society On the following pages is an example of a formatted paper which follows the guidelines set forth in Parts 2 and 3 of this Guide. Please refer to those sections of the Guide for specifics and details. Preparation of Papers and Session Summaries in a Two-Column Format for the IEEE Power Engineering Society Abstract: Instructions
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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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Micro-hydro power. It allows the utilization of hydroelectric potential of small rivers without any significant costs on dams and civil structures. It is generally of run of river type. Micro-hydro has been playing significant role in providing electricity to the local communities in remote areas. Generally synchronous generators are used for the generation purpose in these Micro-hydro plants. In any power system it is required that the voltage and frequency of the system remains within the limits
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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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