The Big Mac index is a way of measuring Purchasing PowerParity (PPP) between different countries. By diverting theaverage national Big Mac prices to U.S. dollars, the same goodscan be informally compared. The Big Mac can also be a goodindicator for the individual purchasing power of an economysince he exists worldwide in standard size, composition andquality.Price # of Countries Rel. f. Cum. f1.50-1.992.00-2.492.50-2.993.00-3.493.50-3.994.00-4.494.50-4.995.00-5.495.50-5.996.00-6.496.50-6.9924797897121 d. Calculate the mean and standard deviation of the averageprices of a Big Mac worldwide.Attach correct symbols and units to your answers. Explainhow you obtained your answers.e. Fill in the Relative Frequencies (3 decimal places) andCumulative Frequencies.f. In what percent of the countries was the average price of aBig Mac $5 or higher?

Answered: The Big Mac index is a way of measuring…

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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An economist want to determine the relation between one’s FICO score, x, and the interest rate of a 36-month auto loan, y. The given data represent the interest rate (in percent) a bank would offer on a 36-month auto load for various FICO scores. Credit Score;x Interest Rate (percent);y 545 18.982 595 17.967 640 12.218 675 8.612 705 6.68 750 5.15 Find the least-squares regression line treating the FICO score as the explanatory variable and the interest rate as the response variable. Predict the interest rate a person would pay if their FICO score were the median score of 723.
An enquiry into the budgets of middle class families in a certain city gave the following information : Expenses Food Fuel Clothing 20% Rent Miscellaneous 35% 10% 15% 20% Prices (2010) 1150 25 75 30 40 Prices (2011) 145 3 65 30 45 What is the Cost of Living Index Number of 2011 as compared with that of 2010 ?
49. In a survey of 694 workers, 61% said that they got their jobs through networking. Use the CPI to answer the following. Average Annual Consumer Price Index (CPI) (1982 - 1984 = 100) CPI 1989 124.0 2001 177.1 1990 130.7 2002 179.9 Year CPI Year Year CPI 1976 56.9 1977 60.6 1978 65.2 1991 136.2 2003 184.0 1979 72.6 1980 82.4 1981 90.9 1982 96.5 1995 152.4 2007 207.3 1983 99.6 1996 156.9 2008 215.3 1984 103.9 1997 160.5 2009 214.5 1985 107.6 1998 163.0 2010 218.1 1986 109.6 1999 166.6 2011 224.9 1987 113.6 2000 172.2 2012 229.6 1988 118.3 1992 140.3 2004 188.9 1993 144.5 2005 195.3 1994 148.2 2006 201.6 Use 1983 as 100. 50. If you spent $11,600 for goods, services, and housing in 2011, what would the same purchases have cost in 1995? 51. If you spent $11,600 for goods, services, and housing in 1995, what would the same purchases have cost in 2011?
3. Use the graph below to answer the following questions. Distribution of annual household income in the United States (2012 estimate) percent of households Median household income was roughly $51,000. These two groups include households reporting income greater than $200,000 – (approximately 4 percent households). The top 25 percent reported an income grater than $85,000. Source: U.S. Census Bureau, Current Population Survey, 2012 Annual Social and Economie Supplement a) What is the shape of the distribution of annual household income in the U.S.? b) What was the median household income in 2012 and what does it mean? c) Why do you think this graph does not include the mean household income? Do you think the mean would be greater or smaller than the median? Explain.
Williams vs Texas Here are the average weights of thefootball team for the University of Texas for variousyears in the 20th century.a) Fit a straight line to the relationship of Weight by Yearfor Texas football players.b) According to these models, in what year will thepredicted weight of the Williams College team fromExercise 36 first be more than the weight of theUniversity of Texas team?c) Do you believe this? Explain. Year 1905 1919 1932 1945 1955 1965Weight (lb) 164 163 181 192 195 199
B4. A company has collected and smoothened its historcal yearly sales data of a product from 2015 up to 2021. The following table shows the sales and moving average figures. Year Sales Three-year moving average Five-ycar moving average (S thousands) 2015 2016 326.0 324.0 E 367.4 2017 344.0 2018 383.0 371.0 E 2019 389.0 2020 398.0 D. 2021 428.0 Calculate the missing values of 4, B, C, D, E and F(Correct to I decimal place).
9. BACHELORS DEGREE
The comparative boxplots below let investigate the relationship between the variables "hourly casino profit" and "which casino, Casino A or Casino B" Hourly profit $100,000.00 $80,000.00 $60,000.00 $40,000.00 $20,000.00 $0.00 -$20,000.00 -$40,000.00 -$60,000.00 Casino A a. None of the other options is correct. b. casino A has a lower Median and lower IQR, both casinos have outliers c. casino A has a lower Median and lower IQR, there are no outliers d. casino A has a higher Median and higher IQR, there are no outliers Casino B
Saved to this PC - Search jar nces Mailings Review View Help AaBbCcD AaBbCcDc AaBbCc AABBCCC AaB T Normal I No Spac. Heading 1 Heading 2 Title Paragraph Styles 2. Below is a table that shows Federal Expenditure from 2013 in billions. Defense 608 Social Security 803 Medicare 495 Medicaid 265 Unemployment Interest on the 72 debt 259 Other 1058 a. Build a clearly labeled chart that illustrates the percent of the budget that goes into each major category.
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The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing $/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/day Price ($/lb.) 1 171 7.0 2 181 5.2 3 170 6.5 4 179 7.9 5 165 7.0 6 150 5.8 7 178 7.3 x = independent variable. According to this problem, the ∑x = 46.7r i s the coeefficient of correlation. Use the r equation to compute the value of the denominator part of the equation. The value for the r denominator = 414.1142According to this problem, the correlation of coefficient, r, between the two most pertinent variables is = 0.2707a) According to the instructor's lecture, the correlation strength between any two variables can be described as strong , weak , or no correlation. The correlation strength for this problem can be…

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