a.A random sample of 150 approved mortgage applications is selected from a bank'sdatabase. Customers of this bank can choose either variable or interest-only mortgages.These mortgage choices have either a 20-year or 30-year term. The data are displayed itable below.TermType of Mortgage20-yearTotal30-year25Variable45Interest Only4040TotalUse the table above to answer the questions below.i.If an approved application is selected at random, what is the probability that it is a30-year term application?ii.If an approved application is randomly selected, what is the probability that themortgage choice is variable and has a term of 20 years or is interest only and has aterm of 20 years?

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Answered: a. A random sample of 150 approved…

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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Data on the gasoline tax per gallon (in cents) as of a certain date for the 50 U.S. states and the District of Columbia are shown below. State Gasoline Taxper Gallon State Gasoline Taxper Gallon Alabama 19.1 Missouri 17.2 Alaska 9.1 Montana 27.7 Arizona 19.1 Nebraska 27.8 Arkansas 21.7 Nevada 23.7 California 37.1 New Hampshire 23.9 Colorado 23.4 New Jersey 14.5 Connecticut 25.1 New Mexico 19.0 Delaware 22.9 New York 33.9 District of Columbia 23.4 North Carolina 35.4 North Dakota 23.1 Florida 30.7 Ohio 28.1 Georgia 26.6 Oklahoma 17.1 Hawaii 18.4 Oregon 30.1 Idaho 33.1 Pennsylvania 51.3 Illinois 33.0 Rhode Island 34.0 Indiana 28.9 South Carolina 16.9 Iowa 31.9 South Dakota 30.1 Kansas 24.9 Tennessee 21.3 Kentucky 25.9 Texas 20.1 Louisiana 21.0 Utah 30.0 Maine 31.5 Vermont 30.6 Maryland 32.7 Virginia 16.9 Massachusetts 26.6 Washington 44.5 Michigan 31.0 West Virginia 33.3 Minnesota 30.5 Wisconsin 33.0 Mississippi 18.3 Wyoming 24.1…
Exemptions may include Select one: O a. taxable income including all deductions. O b. those in an employee's family who are dependents. hit O c. taxable income less all deductions. O d. those in an employee's family who are not dependents.
The table shows the price and number of pieces sold for a total of three products. Use the Laspeyres composite index to find out how the number of pieces sold before Christmas has changed compared to November. number of pieces price product NovemberDecemberNovemberDecember 1 98 112 105 125 2 131 275 159 100 3 95 114 110 100 а. 1,27 b. 1,64 с. 1,52 d. 0,84 Zrušit mou volbu
Month: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Security Company 1.1 1.1 1.3 1.3 1.1 1.1 1.7 1.7 1.2 1.2 1.6 1.6 1.2 1.2 1.2 1.2 1.5 1.5 Other Company 1.6 1.6 2.3 2.3 2.2 2.2 1.5 1.5 2.2 2.2 2.1 2.1 2.3 2.3 1.5 1.5 1.5 1.5 Do the limited data listed here show evidence of stealing by the securitycompany's employees – why or why not?
Nj
Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…
State Sales Tax Rate* Alabama Alaska Arizona 4% 0% Hawaii Idaho 6.6% Illinois Florida Georgia Arkansas California 7.25% Iowa Colorado 6% Indiana 4% Massachusetts 6.25% 6% Michigan 6% Minnesota 61% 7% Mississippi 6% Missouri Montana 2.9% Kansas 6.3% Connecticut 6% Kentucky 6% Delaware 0% Louisiana 4% 6% Maine 4% Maryland 5% 6% Nebraska Nevada New Hampshire New Jersey 6.875% 7% 4.225% 0% 5.5% 6.85% 0% New Mexico New York North Dakota North Carolina 5.75% Ohio Oklahoma Oregon Pennsylvania Rhode Island 5.125% 7% South Carolina 4% 5% 5.5% 4.5% 0% 6% 7% 6% South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 4% 7% 6.25% 4.7% 6% 4% 6.5% 6% 5% 4%
3. The director of library services at Fairmont College did a survey of types of books (by subject) in the circulation library. Then she used library records to take a random sample of 4217 books checked out last term and classified the books in the sample by subject. The results are shown below. Subject Area % Books in Circ Library on this Subject No. of Books in the Sample on this Subject Business 32% 1210 Humanities 25% 956 Natural Science 20% 940 Social Science 15% 814 Other Subject 8% 297 Using a 5% level of significance, test the claim that the subject distribution of books in the library fits the distribution of books checked out by students.
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).
complaint and, if so, whether the complaint was medical or nonmedical in nature. After a year, a tally from these patients was collected to count number who left the HMO voluntarily. Here are the data on the total number in each group and the number who voluntarily left the HMO: No complaint Medical complaint Nonmedical complaint Total A certain health maintenance organization (HMO) wishes to study why patients leave the HMO. A SRS of 423 patients was taken. Data was collected on whether a patient had filed a 177 111 135 Left 64 27 50 If the null hypothesis is Ho : pı = P2 = P3 and using a = 0.05, then do the following: (a) Find the expected number of people with no complaint who leave the HMO: (b) Find the expected number of people with a medical complaint who leave the HMO: (c) Find the expected number of people with a nonmedical complaint who leave the HMO: (d) Find the test statistic: (e) Find the degrees of freedom: (f) Find the critical value: (g) The final conclusion is OA. We…
The accompanying data file shows the annual returns (in %) for a mutual fund focusing on investments in Latin America and a mutual fund focusing on investments in Canada over the past 25 years. Click here for the Excel Data File a. Which fund had the higher reward over this time period? since it has the b. Which fund was riskier over this time period? since it has the c-1. Given a risk-free rate of 2%, calculate the Sharpe ratio for each fund. What does this ratio imply? Note: Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Sharpe ratio for Latin America Sharpe ratio for Canada c-2. Over this time period, the Sharpe ratio implies that the: O Latin America fund had a higher reward per unit of risk. O Canada fund had a higher reward per unit of risk. O Latin America fund had the higher relative dispersion. ○ Canada fund had the lower relative dispersion.
The Easy Credit Company reports the following table representing a breakdown of costumers according to the amount the owe and whether a cash advance has been made. An auditor randomly selects one of the accounts. Amounts owed by the customers Cash Advance? Yes No $0 - $199.99 245 2890 $200 - $399.99 380 1700 $400 - $599.99 500 1425 $600 - $799.99 415 940 $800 - $999.99 260 480 $1000 or more 290 475 Total customers 2090 7910 a.Given that a customer received a cash advance, what is the probability that the customer owed $1000 or more?

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