3) Loss distribution is a uniform distribution with minimum loss is 100millionand maximum loss is 400million.X ~ Unif (100, 400).For maximum losses 90, 85, 80 million USD calculate the confidence levels.Calculate the corresponing TVAR.

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Answered: 3) Loss distribution is a uniform…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The number of flaws in a certain type of lumber has a Poisson distribution with a rate of 0.5 per meter of length. What is the standard deviation of the number of flaws in a board 5 meters in length? Record your answer to two decimal accuracy without any units (like 1.53).
Calculate the Interquartile range (IQR) of the following: Minimum = 9 First quartile = 16 Median = 23 Third quartile = 29 Maximum = 36
The pregnancy length of new mothers in a population is 267 days with a standard deviation of 10 days. What is the minimum pregnancy length that can be in the top 10% of pregnancy lengths? Assume that it is normal distribution.
A SimAirlines aircraft that flies between BWI and San Diego airport has 100 seats, and there are two types of fares: full ($500) and discount ($300). Although there is an unlimited demand for the discount fare, demand for the full fare is estimated to be normally distributed with mean 24 seats and standard deviation 16 seats. To maximize the revenue generated from this flight, how many seats SimAirlines should protect for full-fare passengers?
Find the mean and standard deviation of the indicated sampling distribution of sample means. Then sketch a graph of the sampling distributions. The zloty is the official currency of Poland. During a recent period of two years the day ahead prices for a renewable energy in Poland have a mean of 158.51 and a standard deviation of 33.424. Random samples of size 100 are drawn from this population and the mean of each sample is determined
Assume that the weights of trout in a river are normally distributed. You randomly catch and weigh 20 such trout. The mean weight from your sample is 7.3 lb with a standard deviation of 0.9 lb. Test the claim that the mean weight of trout in this river is greater than 7 lb at a significance level of 0.01. Be sure to clearly identify your work, using appropriate notation at each step of the process, and summarize your final result in a complete sentence.
A survey found that women`s heights are normally distributed with a mean of 62.7 inches and a standard deviation of 2.5 inches. The survey also found that men`s heights are normally distributed with a mean of 67.3 inches and a standard deviation of 3.1 inches. Most of the live characters employed at an amusement park have height requirements of a minimum of 56 inches. and a maximum of 63 inches. a) Find the percentage of men meeting the height requirement. Round to 2 decimal places if needed.
Suppose that the quarterly sales levels among health care information systems companies are approximately normally distributed with a mean of 8vmillion dollars and a standard deviation of 1.1million dollars. One health care information systems company considers a quarter a "failure" if its sales level that quarter is in the bottom 15%of all quarterly sales levels. Determine the sales level (in millions of dollars) that is the cutoff between quarters that are considered "failures" by that company and quarters that are not. Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place.
The pregnancy length (in days) for a population of new mothers can be approximated by anormal distribution, with a mean of 267 days and a standard deviation of 10 days. What is the minimum pregnancy length that can be in the top 8% of pregnancy lengths?
Q2) A certain machine makes electrical resistors having a mean resistance of 60 ohms and a standard deviation of 2 ohms. Assuming that the resistance follows a normal distribution and can be measured to any degree of accuracy, what percentage of resistors will have a resistance exceeding 63 ohms?
If a quality control manager wants to estimate the mean life of light bulbs to within + 21 hours with 99% confidence and also assumes that the population standard deviation is 85 hours, how many light bulbs needed to be selected?
An excess of high values for the cases distributed on a graph results in a positive skew in the data?

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3) Loss distribution is a uniform distribution with minimum loss is 100million and maximum loss is 400million. X - Unif (100, 400). For maximum losses 90, 85, 80 million USD calculate the confidence levels. Calculate the corresponing TVAR.