A study showed the following migration matrix, which describes the movement of the population of the United States during 1989. In 1989, about 16.3% of the total population lived in State A. What percentage of the total population would eventually live in State A if the listed migration probabilities were to remain constant over many years? From:StateARest of U.S.To:0.97270.0059State A0.02730.9941Rest of U.SDetermine the approximate percentage of the total U.S population that would eventually live in State A if the migration probabilities remained constant.The percentage of the total U.S. population that would eventually live in State A is %.

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From: State A Rest of U.S. To: 0.9727 0.0059 State A 0.0273 0.9941 Rest of U.S Determine the approximate percentage of the total U.S population that would eventually live in State A if the migration probabilities remained constant. The percentage of the total U.S. population that would eventually live in State A is %.

From: State A Rest of U.S. To: 0.9727 0.0059 State A 0.0273 0.9941 Rest of U.S Determine the approximate percentage of the total U.S population that would eventually live in State A if the migration probabilities remained constant. The percentage of the total U.S. population that would eventually live in State A is %.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Part 3
In a survey, it was found that 72%of the population of a certain urban area lived in single-family dwellings and 28% in multiple housing. One year later, of those who had been living in single-family dwellings, 89%still did so, but 11% had moved to multiple-family dwellings. Of those in multiple housing, 94%were still living in that type of housing, while 6%had moved to single-family housing. Assume that these trends continue. (a) Write a transition matrix using this information. Set it up so that the first row and first column represent single-family dwellings and the second row and second column represent multiple housing.
3. Suppose you find yourself in this situation. One time you want to buy a light bulb.There are three brands of light bulbs that you know. Knowing that the longer the lightbulb lasts, the more you save. Your experience of buying the different brands of light isthe basis. The data are as follows: BRAND K: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months,6,5 months, 2 months, and 7 months.Brand A: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2 months, 7months, 4.5 months and 4.5 months. BRAND J: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2months, 7 months, 8 months and 1 month.If the light bulbs have the same price, which brand of light will you buy? Justify youranswer by using the statistical measures. Tabulate your solutions.
1
Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock A B C D Jan Mar Stock = = A - B с D Industry Oil Computer Steel Real Estate January Year 1 Quantity 100 150 75 50 Price per Share ($) March Year 1 Base 31.50 65.00 40.00 16.00 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Price Relative January Year 3 22.75 49.00 32.00 6.50 March Year 3 22.50 47.50 29.50 Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) I, 2.75
Q3B All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Data is in following table: Fish All Fresh Seafood Prices Catalina Offshore Products Prices Cod 19.99 17.99 Tilapi 6.00 13.99 Farmed Salmon 19.99 22.99 Organic Salmon 24.99 24.99 Grouper Fillet 29.99 19.99 Tuna 28.99 31.99 Swordfish 23.99 23.99 Sea Bass 32.99 23.99 Striped Bass 29.99 14.99 Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level. (iv) Determine sample mean of differences x⎯⎯div Determine sample mean of differences x¯d Enter in decimal form to nearest ten-thousandth. Examples of correctly…
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In any given day the air quality in a certain city is either good or bad. Records show that when the air quality is good on one day, then there is a 95% chance that it will be good the next day, and when the air quality is bad on one day, then there is 45% chance it will be bad the next day. a. Give the transition matrix. b. if the air quality is good today, what is the probability it will be good two days from now? c. if the air quality is bad today, what is the probability it will be bad three days from now? d. if the there is 20% chance the air quality is good today, what is the probability it will be good tomorrow?
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…
A car rental agency in a major city has a total of 4600 cars that it rents from three locations: Metropolis Airport, downtown, and the smaller City Airport. Some weekly rental and return patterns are shown in the table (note that Airport means Metropolis Airport). Returned to AP DT CA 90% 10% 10% Airport (AP) Downtown (DT) 5% 80% 5% Rented from At the beginning of a week, how many cars should be at each location so that the same number of cars will be there at the end of the week (and hence at the start of the next week)? AP DT CA Need Help? cars cars cars Read It Watch t Talk to a Tutor
The median home value in lowa and Connecticut (adjusted for inflation) are shown below. Year lowa Connecticut 1950 38300 71900 2000 82500 166900 If we assume that the house values are changing linearly, a) In which state have home values increased at a higher rate? Select an answer b) If these trends were to continue, what would be the median home value in lowa in 2010? c) If we assume the linear trend existed before 1950 and continues after 2000, the two states' median house values will be (or were) equal in what year? (The answer might be absurd) The year %i4