A study showed the following migration matrix, which describes the movement of the population of the United Statesduring 1989. In 1989, about 45.6% of the total population lived in State A. What percentage of the total populationwould eventually live in State A if the listed migration probabilities were to remain constant over many years?From:StateARest of U.S.0.9855 0.01290.0145 0.9871To:State ARest of U.SDetermine the approximate percentage of the total U.S population that would eventually live in State A if the migrationprobabilities remained constant.The percentage of the total U.S. population that would eventually live in State A is %.(Round the final answer to one decimal place as needed. Round all intermediate values to six decimal placesas needed.)

Answered: Image /qna-images/answer/613fcf5b-eac3-4387-8da7-5d9eb95c6333.jpg

Answered: A study showed the following migration…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

Population Movement In 2008 the population of a country, broken down by regions, was 54.3 million in the Northeast, 65.1 million in the Midwest, 112.4 million in the South, and 70.2 million in the West. The table below shows the population movement during the period 2008–2009. (Thus, 99.23% of the population in the Northeast stayed there, while 0.16% of the population in the Northeast moved to the Midwest, and so on.) To Northeast Midwest South West From Northeast 0.9923 0.0016 0.0042 0.0019 Midwest 0.0018 0.9896 0.0047 0.0039 South 0.0056 0.0059 0.9827 0.0058 West 0.0024 0.0033 0.0044 0.9899 Set up the 2008 population figures (in millions) as a row vector. Use matrix multiplication to estimate the population in each region in 2009. (Round all answers to the nearest 0.1 million.) Northeast million peopleMidwest million peopleSouth million peopleWest million people
The following data consists of a matrix of transition probabilities (P) of three competing companies, the initial market share state ℼ(1), and the equilibrium probability states. Assume that each state represents a firm (Company 1, Company 2, and Company 3, respectively) and the transition probabilities represent changes from one month to the next. The market share of Company 2 after two periods is a. 0.283 b. 0.26 c. 0.261 d. 0.47
The median home value in lowa and Massachusetts (adjusted for inflation) are shown below. Year lowa Massachusetts 1950 38300 2000 82500 55400 185700 If we assume that the house values are changing linearly, a) In which state have home values increased at a higher rate? [Massachusetts 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
A simplified version of input-output analysis of a national economy has the following input-output matrix: Agriculture Manufacturing Households 0.245 0.051 0.099 0.279 0.433 0.011 A. Agriculture Manufacturing Households 0.102 0.291 0.372 units of Manufacturing are need to produce one unit of Households B. Given Demand (in billions of dollars) for the three sectors are as follows 32.6 = Manufacturing, 3.5-Agriculture 31.8-Households Find the amount of each commodity that should be produced (nearest 0.1 billion) = Agriculture - Manufacturing Households C. If the external demand of Households raises by $1 billion then manufacturing production needs to increase by $ billion (nearest 0.01) in order to meet that increase in household external demand
In this exercise you will explore the ideas of orthogonal vectors, orthogonal matrices, and why these ideas are useful: (a) Plot the vectors v₁ = (1) in the xy-plane. 1 (b) Compute v₁ V₁ and v₂ v₂. The fact that you get an answer of 1 for both is due to the length of the vectors being equal to 1. Now compute v₁ · v₂ and v2 - V₁. The fact that you get an answer of 0 for both of these answers is due to the fact that these two vectors are perpendicular or "orthogonal" to one another. (V1 V₂) (1 whose columns are v₁ and v₁ respectively and the matrix , V2 = (c) Now consider the matrix A = = √/2 = V1 ᎪᎢ √2 V₂ A AT and AT A. What does this tell you in terms of inverse matrices? (d) What do you think is the general fact one can say about how to construct these nice “orthogonal matrices" like A in general? How would you go about it (in words, don't actually come up with an example) for a 3 × 3 matrix? whose rows are v₁ and v₂ transposed (i.e. turned sideways) respectively. Compute
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
3. The following table summarizes drink sales at a store over the course of two seasons. Milkshake Coffee Total Summer 48 65 113 Winter 21 53 74 Total 69 118 187 From this data, does the choice of drink appear to be dependent or indenendent of season?

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS